ML Engineer Jobs in Munich.

Helsing

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Software Engineer - Autonomous Air System V&V

Helsing · Berlin; Munich

Apply now

AI & Engineering Berlin Munich Posted May 7, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

Our Autonomous Air System V&V team builds the simulation and validation environments that enable rigorous testing of autonomous air systems before they ever leave the ground. We develop Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) environments that allow engineers to integrate, test, and assure AI-driven capabilities against virtualised and representative hardware.

We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless.

Taken together, this brings a whole host of interesting backend engineering challenges across a wide variety of fields that you'll help us solve. To give some examples:

Simulation frameworks (e.g., high-fidelity SiL/HiL environments, real-time and deterministic simulation)
Test automation (e.g., fault injection, automated test coverage, regression testing at scale)
Hardware-software integration (e.g., testing against representative hardware, sensor and actuator interfaces)
Real-time and high-performance computing (e.g., concurrency, low-latency execution, profiling and optimization)
Distributed systems (e.g., orchestrating complex multi-component test environments)
Deployment infrastructure (e.g., air-gapped devices and heterogeneous test rigs)
Machine learning (e.g., systems for testing and validating AI/ML model behaviour)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Design and develop modules in simulation and validation frameworks, writing high-performance Rust code for simulators and test infrastructure.
Build tools for automated test coverage, fault injection, and regression testing to ensure comprehensive validation of autonomous systems.
Work closely with autonomy and systems teams to capture requirements and ensure simulation environments accurately represent real-world conditions.
Debug and profile simulation performance, identifying bottlenecks and optimizing for speed, determinism, and fidelity.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller "let's learn together" groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is primarily Rust and Python.
Maintain documentation and testing infrastructure, ensuring that our simulation environments are well-documented and accessible to other teams.
Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn't matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

Write modern, maintainable Rust.
Have experience in simulation, testing, robotics frameworks or autonomous driving.
Are comfortable with complex systems and concurrency.
Care about reliability, performance, and safety.
Enjoy working on the interface between software and hardware.
Are motivated by fast feedback loops and real impact.
Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

Aerospace or automotive background.
Software/Hardware-in-the-loop or simulation experience.
Experience building test rigs or ground-based integration systems.
Knowledge of flight dynamics or control systems.
Exposure to AI/ML systems testing.
Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).
Metrics tooling (e.g., Prometheus, Grafana, ELK).
Production ML systems.

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

View all jobs →

Software Engineer - Autonomous Air Systems

Helsing · Berlin; Munich

Apply now

AI & Engineering Berlin Munich Posted May 7, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. At Helsing, you won't just be developing software; you'll be integrating state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.

Working at the intersection of machine learning and systems engineering, you'll integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight. This isn't theoretical; your code will enable the CA-1 Europa to perceive, reason, and act autonomously in the most demanding environments.

What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so it must be both reliable and frictionless. To give some examples:

Autonomous Decision-Making Systems — reliable pipelines from sensor data to RL inference to tactical execution, including edge-case and failure-mode handling.
Reinforcement Learning Integration — bridging Python-based RL agents with Rust runtime systems for low-latency, reproducible inference.
Distributed Systems & Communications — handling intermittent connectivity and bespoke hardware protocols.
Training Infrastructure — distributed training, evaluation pipelines, and large-scale runs on custom simulators.

In some areas, we're working at the state-of-the-art—actively implementing research papers and pushing further. In others, we're applying proven techniques to real-world situations they've never encountered before. Both require skill, diligence, and deep technical understanding.

Our software operates under significant constraints, in constantly-changing environments, for users in high-risk situations. It must be reliable and frictionless. That's what makes this work hard—and worth doing.

The day-to-day

Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.
Further develop our tests and benchmarks, both at the micro and macro level, including hardware-in-the-loop (HIL) simulations and flight testing. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Review code contributions, proposals, and RFCs from colleagues, ensuring robustness and adherence to safety and performance standards critical for airborne applications. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack, with a focus on refining the capabilities and reliability of our airborne mission systems. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

You should apply if you

Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming, particularly on complex system architectures involving tight hardware-software integration on a real-world aerial platform.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Have strong backend or embedded development experience, ideally with a language like Rust, Go, or C++.
Feel comfortable working with Python with the ML-heavy sections of the stack.
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

Rust and Python specifically.
Experience in deploying Reinforcement Learning or Machine Learning agents in real-world systems
Safety Programming Experience
Familiarity with low-level flight control systems and their interfaces, even if not directly developing them.
Experience with sensor integration (IMUs, GPS, Lidar, Cameras) and sensor fusion techniques for navigation.
Robotics (e.g., control systems).
Production ML systems.
Hardware interfaces (e.g., Arduino).

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

View all jobs →

Software Engineer - Airborne Mission Systems

Helsing · Berlin; Munich

Apply now

AI & Engineering Berlin Munich Posted May 7, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

Imagine building the vital infrastructure for a cutting-edge autonomous aerial platform that will actually take flight. At Helsing, you won't just be developing software; you'll be shaping the foundational capabilities for our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa. This is a unique opportunity to directly contribute to a novel system designed from the ground up.

You will be building the higher-level mission control foundation, the sophisticated infrastructure that enables real-time sensor processing, secure communication, seamless integration of autonomous decision-making modules, and reliable interfacing with lower-level flight control systems. This isn't theoretical; your code will be critical to the CA-1 Europa's ability to fly, perceive, and operate effectively in the most demanding environments.

We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so it must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

Distributed systems & Communications (e.g., intermittent connectivity and integrating with bespoke communication hardware and protocols)
Embedded computing (e.g., resource-constrained compute and real-time operating systems)
Networking (e.g., long-range low-bandwidth radios and cross-medium routing)
Deployment & Integration Infrastructure (e.g., designing and implementing custom secure runtime environments for vendor code)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

Review code contributions, proposals, and RFCs from colleagues, ensuring robustness and adherence to safety and performance standards critical for airborne applications. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack, with a focus on refining the capabilities and reliability of our airborne mission systems. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.
Further develop our tests and benchmarks, both at the micro and macro level, including hardware-in-the-loop (HIL) simulations and flight testing. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming, particularly on complex system architectures involving tight hardware-software integration on a real-world aerial platform.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Have strong backend or embedded development experience, ideally with a language like Rust, Go, or C++.
Feel comfortable developing distributed systems.
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematicallyunder-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

Significant experience with Rust.
Network programming experience.
Experience designing or implementing custom runtime environments, sandboxing, or secure execution contexts for third-party code.
Experience with avionics, flight control systems, or Guidance, Navigation, and Control (GNC).
Familiarity with low-level flight control systems and their interfaces, even if not directly developing them.
Experience with sensor integration (IMUs, GPS, Lidar, Cameras) and sensor fusion techniques for navigation.
Hardware interfaces (e.g., Arduino).

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

View all jobs →

Software Engineer

Helsing · Berlin; Munich

Apply now

AI & Engineering Berlin Munich Posted May 7, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

Distributed systems (e.g., intermittent connectivity and byzantine actors)
Embedded computing (e.g., resource-constrained compute and reverse-engineering)
Robotics (e.g., control systems and tasking)
Networking (e.g., long-range low-bandwidth radios and cross-medium routing)
Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)
Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)
Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.
Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Have backend development experience, ideally with a language like Rust, Java, Go, or C++.
Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

Rust and Python specifically.
Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).
Metrics tooling (e.g., Prometheus, Grafana, ELK).
SQL and streaming database systems.
Routing protocols (e.g., IGP, BGP).
Cryptographic protocols (e.g., Signal, WireGuard).
Hardware interfaces (e.g., Arduino).
Robotics (e.g., control systems).
Production ML systems.

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

View all jobs →

Software Engineer - Backend

Helsing · Berlin; London; Munich; Paris; Stockholm; Tallinn; Warsaw

Apply now

AI & Engineering Berlin London Munich Paris Stockholm Tallinn Posted May 7, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

Distributed systems (e.g., intermittent connectivity and byzantine actors)
Embedded computing (e.g., resource-constrained compute and reverse-engineering)
Robotics (e.g., control systems and tasking)
Networking (e.g., long-range low-bandwidth radios and cross-medium routing)
Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)
Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)
Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.
Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

Can write legible, maintainable, and performant code.
Communicate well in English, both verbally and in writing.
Enjoy collaborating with others, including reviewing code and pair programming.
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
Have backend development experience, ideally with a language like Rust, Java, Go, or C++.
Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.
Strive to improve yourself, your peers, and the culture you work in over time.
Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

Rust and Python specifically.
Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).
Metrics tooling (e.g., Prometheus, Grafana, ELK).
SQL and streaming database systems.
Routing protocols (e.g., IGP, BGP).
Cryptographic protocols (e.g., Signal, WireGuard).
Hardware interfaces (e.g., Arduino).
Robotics (e.g., control systems).
Production ML systems.

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

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Site Reliability Engineer

Helsing · Berlin; London; Munich

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AI & Engineering Berlin London Munich Posted May 7, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The Role

Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.

Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.

We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team — and our mission—forward.

The day-to-day

As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.
You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance
You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance
You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.
You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack

Key Skills

Scripting: experience in either Python, Go, Rust or Bash/ Shell for automation and tooling

Experience with GitOps workflows and CI/CD automation
Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)
Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco
Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks
Networking: Expert understanding of networking concepts, protocols and security
MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms
Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper
System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems
Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions

You should apply if you

Have a high level of personal integrity, reliability, and attention to detail
Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity
Have experience running cloud-native workloads in on-premises or air-gapped environments
Are willing to relocate to Munich, London, or Berlin.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

Note: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

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Solutions Engineer, Auth0 - German speaking

Okta · Germany

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SE Field-321 Munich Posted May 6, 2026

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

As an Auth0 Solutions Engineer you have a background in Development and are passionate about Customer Identity. In this role, you will be a technical expert who can engage with our customers to help them address their identity management challenges, driving a clear technical preference for Okta's Auth0 offering.

You will be part of a team of Solution Engineers, supporting the German region. You will give product demonstrations, help customers understand the product, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to use cloud security technology.

What you’ll be doing

Deliver interactive presentations and solution demonstrations to all levels of an organization
Whiteboard solutions, modeling how Okta's Auth0 product will support their current architecture requirements and use cases
Lead Q&A sessions with prospective customers to understand their requirements
Execute well-defined, outcome-focused PoCs and PoVs
Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
Maintain a broad and deep technical understanding of the Auth0 product line and the underlying technologies and protocols
Stay current on industry trends through self-study, research, and online courses
Proactive engagement in local and regional sales and marketing events

What you’ll bring to the role

Fluency in English and German is a MUST
Software Engineering or Development experience, and a desire to become more customer facing
Understand what’s relevant in order to design and implement reliable, scalable, high performing Web based solutions
Knowledge of Authentication and Authorisation protocols and frameworks such as SAML, OIDC and OAuth
Experience working with REST APIs and SDKs
An ability to communicate very effectively with the technical and non technical audience
Comfort working with cloud based source control systems such as GitHub and Bitbucket
Development experience on the server side as well as client side application design

And extra credit if you have experience in any of the following!

Experience working in a Pre-Sales role as Sales Engineer or Solutions Engineer

An understanding of cloud deployments stacks such as AWS, Azure and GCP
Experience in developing mobile applications (using React Native/Ionic/Xamarin) and understanding the identity layer integration involving devices is a huge plus
Experience speaking at technical conferences and events
Have experience working with Okta and/or Auth0

#LI-Remote

#LI-JP3

P15260_3336594

Below is the annual On Target Compensation (OTE) range for candidates located in Germany. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and comprehensive financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/deu.

The OTE range for this position for candidates located in Germany is between:

€122.000—€134.000 EUR

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

Ready to apply?

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Emulation Engineer, Automotive Robotics

Tenstorrent · Munich, Germany

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Automotive Munich, Germany Posted May 6, 2026

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Tenstorrent is seeking a high impact Emulation Engineer to help bring our SiP based AI or ML engines to life through scalable, high performance emulation platforms. This role is ideal for someone who thrives on technical ownership, solves system level problems, and wants to influence silicon debug, DV, and performance from the ground up. You will build the infrastructure that allows our chiplet based systems to be explored, tested, and validated across hardware, software, and architectural layers.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

Bring 10+ years of SoC or ASIC experience, including a deep understanding of logic design, verification, and emulation platforms.
Fluent in Verilog or SystemVerilog, C or C++, and SystemC, with hands-on experience using commercial emulators such as ZeBu, Palladium, or Veloce.
Confident in architecting DV and emulation environments, from transactors to monitors to debug hooks, and automate everything you can.
Collaborative and self driven, with a passion for mentoring junior engineers and working cross functionally with architecture, software, and DV teams.

What We Need

A passion to build and scale a multi chiplet emulation ecosystem that supports DV, software development, and power or performance debug.
Comfort in developing testbenches, transactors, monitors, and support systems to enable high quality, high efficiency emulation usage.
Experience in driving emulation coverage from functional and performance to low level software enablement, and automate as much of the flow as possible.
To optimize the platform for frequency, resource sharing, and end user support, ensuring Tenstorrent teams get the most from emulation.

What You Will Learn

Building an emulation flow that supports chiplet based SiPs at scale, spanning AI workloads, interconnects, and system level power.
How Tenstorrent integrates AI engines, RISC V CPUs, die to die links, PCIe, UCIe, and memory controllers into one unified platform.
To align virtual prototyping, power analysis, and emulation into a full stack validation solution.
How emulation sits at the core of a cross functional silicon bring up strategy, from RTL to post silicon debug and customer delivery.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Ready to apply?

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Tenstorrent

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Functional Safety Hardware Engineer, Automotive Robotics

Tenstorrent · Munich, Germany

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Automotive Munich, Germany Posted May 6, 2026

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

As part of Tenstorrent’s Automotive Robotics team, you will help define and develop silicon hardware for mobility and robotics solutions. You will work with architects and hardware designers to make the right tradeoffs between performance, safety, and cost. You will lead the creation of safety work products and drive safety analysis across a range of hardware modules.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

An expert in silicon hardware development, with robotics or automotive systems knowledge as a plus.
Experienced in ISO26262, IEC61508, and or other relevant safety standards.
Excellent at working with hardware designers to define novel solutions that maximize performance and safety.

What We Need

Somebody able to work with RTL designers to make safe design decisions.
5+ years of experience with executing, and helping others execute; required safety analysis and safety work products.
Somebody able to work with team members and safety assessors to certify hardware designs.

What You Will Learn

Every facet of hardware design for the automotive and robotics semiconductor industry.
How cutting edge machine learning and AI shape safety critical compute platforms.
Improving workflows and validation practices in a fast-moving environment.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Ready to apply?

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Tenstorrent

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Security Engineer

Helsing · Munich

Apply now

Security Engineering London Munich Posted May 6, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

Security Engineering at Helsing sits at the intersection of deep technical expertise, adversarial thinking, and real-world impact. You'll work across the full breadth of our technology — from cloud infrastructure to applications, identity systems, and products — identifying and reducing the security risks that matter most. The systems we build and the data we handle demand a security posture that is rigorous, adaptive, and deeply embedded in everything we do. You'll directly shape our ability to earn and maintain the trust of partners, customers, and the public, while ensuring our teams can build and ship with confidence. At Helsing, where the stakes of what we build are unusually high, this work is central to delivering on our mission responsibly.

The day-to-day

Identify, assess, and prioritise security risks across our systems, products, and infrastructure - distinguishing between theoretical concerns and material threats to the business
Design and implement practical security controls across cloud platforms, applications, products, and data - and guide engineering teams in doing the same
Develop and apply threat models to surface architectural risks, trust boundary issues, and failure modes before they become incidents
Partner with engineering, product, and operational teams as a trusted security adviser - providing patterns, guidance, and guardrails rather than one-off approvals or blockers
Contribute to the detection, investigation, and containment of security incidents, and drive systemic improvements from what we learn
Reduce manual and reactive security work by building automation, improving tooling, and embedding secure-by-default practices into how we develop and operate systems
Bring technical depth to assurance activities such as audits, certifications, and customer security reviews - ensuring our controls are real and effective, not just documented

You should apply if you

Have deep hands-on expertise in one or two security domains - such as application security, cloud security, identity and access management, cryptography, detection and response, or platform security - and can demonstrate genuine impact within them
Think in terms of trust boundaries, failure modes, blast radius, and adversarial behaviour rather than individual vulnerabilities in isolation
Can translate complex security risk into language that resonates with non-security stakeholders - engineers, product managers, and senior leadership alike - and influence outcomes without relying on authority
Approach security with a risk-based mindset, making proportionate, well-reasoned decisions under uncertainty and consistently asking whether the work you are doing reduces material risk rather than simply satisfying a compliance requirement
Have experience working across multiple teams and technical domains simultaneously, maintaining quality and judgement across contexts
Have a track record of identifying gaps and driving security improvements to resolution, including in ambiguous or loosely scoped problem spaces

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to Have

Experience working in or alongside regulated, high-assurance, or defence-adjacent environments where security requirements are complex and the consequences of failure are significant
Hands-on offensive security experience - red teaming, penetration testing, or adversarial simulation - that informs how you approach defensive design and threat modelling
Familiarity with security considerations specific to AI or machine learning systems, including model integrity, data pipeline security, or adversarial ML concepts
Experience designing or contributing to security programmes at scale - security champions networks, secure development lifecycle tooling, or organisation-wide risk frameworks
Background in cloud-native security engineering, particularly across AWS, GCP, or Azure, including infrastructure-as-code, container security, and cloud identity patterns
Exposure to supply chain security concerns, including dependency management, build pipeline integrity, or third-party component assurance
Experience operating in environments with classified data, government security frameworks, or cross-domain security requirements

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regularly company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers.
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

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Lead Systems Engineer - EO/IR Sensing

Helsing · Munich

Apply now

Systems Architecture Munich Posted May 6, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

As the Lead System Engineer for EO/IR Sensing, you will own the complete end-to-end integration of the airborne electro-optical/infrared targeting system, from initial requirements definition through to flight test and operational release. Your primary focus will be to translate mission needs into specific performance requirements for detection, tracking, and identification, whilst defining the sensor's concept of operations and algorithm integration. A critical part of your role is to manage the technical supplier interface, lead the verification and test campaign, and ensure seamless data integration with the core mission system to deliver a fully qualified capability.

The day-to-day

Own day-to-day system engineering and integration of the airborne EO/IR targeting system from requirements through flight test and operational release.
Translate mission needs into EORTS performance requirements: detection/recognition/identification ranges, FOV/zoom, stabilization/line-of-sight jitter, tracking accuracy, latency, and environmental limits.
Define and maintain sensor mode set and CONOPS (wide-area search, cueing, target track, ID, geo-pointing, post-strike assessment), including mission-phase behavior and sensor scheduling.
Lead target detection, tracking, and classification pipeline integration: algorithm selection, data labeling strategy, confidence metrics, and thresholds tuned for operational false-alarm tolerance.
Ensure robust multi-sensor cueing with other sensors.
Manage data interfaces/ICDs to mission computer and C2: video formats/encoding, metadata, track outputs, cues, recorder/telemetry needs, and health/BIT reporting.
Plan and execute verification & test with a special focus on installed senor performance.
Coordinate with software/avionics teams on data interfaces.
Manage supplier technical control: review specs, acceptance tests, algorithm releases, and change requests; track issues to closure with objective evidence.
Define and maintain interfaces/ICDs to avionics and mission systems.
Produce program artifacts: requirements, verification matrices, test plans, performance reports, and flight readiness inputs.

You should apply if you

Hold a relevant degree in Electrical Engineering, Aerospace Engineering, Systems Engineering, or a related field.
Have experience in delivering EO/IR targeting systems (gimbals/EOTS/EORTS/ISR pods) through integration, test, and operational release.
Can translate mission scenarios into DRI requirements (detection/recognition/identification ranges), plus stabilization/LOS jitter, tracking accuracy, latency, and environmental constraints.
Have hands-on experience with sensor mode design/CONOPS (search, cueing, track, ID, geo-pointing, BDA) and sensor scheduling across mission phases.
Have integrated detection/tracking/classification pipelines, including thresholding/false-alarm control and confidence metrics (ML-based ATR experience is a plus).
Understand multi-sensor cueing and track association (radar/ESM to EO/IR handover, metadata alignment, confidence management).
Have led verification & test (lab/HIL, ground range, flight test support) and can debug issues from imagery to algorithms to avionics/software.
Can manage supplier technical control: review evidence, control configuration, and drive issues to objective closure.

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

View all jobs →

Deployed AI Engineer

Helsing · Munich - Berlin - London - Paris - Warsaw - Tallinn; Stockholm

Apply now

Deployed Engineering Berlin London Munich Paris Stockholm Tallinn Posted May 6, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.
Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.
Prefer asking questions over stipulating answers.
Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.
Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.
Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.
Can navigate and configure Linux systems and have an understanding of network stacks and database systems.
If applying for Germany- it is a requirement that you are able to speak business level or fluent German

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

Experience with Rust and Python.
Experience with container-based, cloud-native and edge application architectures.
Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.
Experience with SQL, NoSQL, and streaming database systems.
Experience with production ML systems.
Bonus points: you have professional experience working in a defence context.

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

View all jobs →

AI Research Engineer - ML Engineering

Helsing · Berlin; London; Munich

Apply now

AI & Engineering Berlin London Munich Posted May 6, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms.

What you will do:

Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for a wide range of use cases.
Scale our current infrastructure and tooling stack to support faster and larger distributed training.
Design data strategy to support large scale datasets and efficient storage, ensuring GPUs stay warm.

You should apply if you:

Hold an MSc or PhD in Computer Science or STEM field, with a focus on Machine Learning and Deep Learning.
Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX/TensorFlow). You don’t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.
Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal engineering culture.
Have a "first-principles" mindset: you enjoy reading the latest AI optimisation blog posts and integrating them into codebases rapidly.
You have debugged production ML pipelines and can tell a good war story about finding a subtle numerical or performance issue.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

You have hands-on experience training models on large-scale GPU clusters, implementing advanced parallelism strategies, and understanding the underlying cross-node communication patterns (NCCL, MPI).
You have worked with large-scale datasets made of different modalities. Understanding the tradeoffs in locality, encoding, formats, and streaming strategies.
You are proficient with workload orchestrators like Slurm, Kubernetes, or Ray, having used them to schedule and manage complex, concurrent training jobs at scale.
You understand GPU architecture at a low level: memory hierarchies, warp execution, and what makes a GPU suited for training versus inference workloads.

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

#LI-FH1

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

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AI Research Engineer - Signal Processing

Helsing · Berlin; Munich

Apply now

AI & Engineering Berlin London Munich Paris Posted May 6, 2026

Who we are

Helsing is a defence AI company with the mission is to protect our liberal democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. We believe we have a responsibility to be thoughtful about the development and deployment of powerful technologies like AI and take this responsibility seriously.

We are an ambitious and committed team of software and deployment engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems today.

We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing, we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.

You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.

You will be part of a signal processing team, where you will build in-house solutions for signal processing problems that we face, in the sky or underwater.

The day-to-day

You will develop and extend the state-of-the-art in signal processing, applying and deploying the technology in real-world scenarios.

You will contribute to projects and will collaborate with people across several teams and backgrounds.

You should apply if you

Hold an MSc in signal processing, machine learning, robotics, communication engineering or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up to date with current research and enjoy reimplementing / extending the state-of-the art in ML/AI
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

A PhD in signal processing, machine learning, robotics, communication engineering or related field and have authored publications in top-tier journals and conferences
Experience with implementing signal processing algorithms, time frequency analysis, parameter estimation
Experience deploying AI software to production including testing, quality assurance, and monitoring

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

View all jobs →

AI Research Engineer - Robotics

Helsing · Barcelona; Paris

Apply now

AI & Engineering Berlin London Munich Paris Posted May 6, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and real-world robustness.

You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning. Your work will focus on designing, training and deploying RL-based controllers for robots operating in complex, unstructured, and dynamic real-world environments — where classical control approaches fall short. This includes enabling robots to perceive and understand their surroundings by fusing rich sensory inputs, including vision, to inform robust and adaptive control. You will own the full pipeline from simulation to deployment, ensuring that learned policies are robust, efficient, and ready for real-world operation under tight hardware constraints.

You should apply if you

Hold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.

Have hands-on experience training and deploying RL-based controllers on real robotic hardware, not just in simulation — you have seen your policies fall, iterate, and ultimately succeed on a physical system.
Are deeply familiar with modern RL techniques for continuous control, including but not limited to: model-free methods (PPO, SAC, TD3), model-based RL, hierarchical RL, sim-to-real transfer strategies, domain randomisation, and curriculum learning.
Have a solid understanding of robot dynamics, kinematics, and classical control theory (e.g. PID, model predictive control, trajectory optimisation), and know when and how to combine them with learned approaches.
Are proficient in building and working with physics-based simulators (e.g. MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies.
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.
Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.
Are passionate about keeping up to date with current research and enjoy re-implementing and extending state-of-the-art papers.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

PhD in Robotics, Reinforcement Learning, Control Engineering, or related fields, with publications in top-tier venues (e.g. CoRL, ICRA, NeurIPS, ICLR, IROS, RSS).
Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.
Experience with vision-based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.
Familiarity with low-level motor control interfaces and real-time embedded systems constraints.
Experience with online adaptation and meta-learning techniques to enable robots to adapt to changing environmental conditions
Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

View all jobs →

AI Research Engineer - Reinforcement Learning

Helsing · Berlin; London; Munich

Apply now

AI & Engineering Berlin London Munich Paris Posted May 6, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks.

You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. you'll be developing state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.

The day-to-day

You'll build, train and integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight.

You will contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning.

You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.

You should apply if you

Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics.

Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.
Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches.
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

PhD in reinforcement learning, multi-agent systems, automation and control, robotics, or related fields and have authored publications in top-tier journals and conferences (eg, NeurIPS, ICML, ICLR, AAMAS).
Experience with large-scale RL training.
Experience modeling and training multi-agent controllers using state-of-the-art tools and techniques.
Experience deploying AI software to production including testing, quality assurance, and monitoring

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

View all jobs →

AI Research Engineer - Computer Vision

Helsing · Berlin; London; Munich

Apply now

AI & Engineering Berlin London Munich Paris Posted May 6, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.

You will be part of a computer vision team, where you will be responsible for building computer vision models for object recognition and tracking, video understanding, scene matching, etc.

The day-to-day

You will develop computer vision models and pipelines that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios.

You will also apply and develop techniques to adapt them to the target hardware and constraints associated to the downstream ML/AI tasks.

You will contribute to impactful projects and will collaborate with people across several teams and backgrounds.

You should apply if you

Hold an MSc in computer science, machine learning, robotics or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up to date with current research and enjoy reimplementing / extending papers on state of the art Deep Learning-based approaches
Possess solid software engineering skills, writing clean and well-structured code in Python, and experience deploying AI software to production including testing, QA, and monitoring

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

PhD in computer vision, machine learning, robotics, or related field and have authored publications in top-tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS)
Experience with object detection and categorisation, single and multi-object tracking, scene understanding and matching, 3D computer vision.

Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery
Experience with simulators, emulators, or synthetic data generators
Experience with Rust and/or C++

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

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AI Research Engineer - Foundation Models

Helsing · Berlin; London; Munich; Paris

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AI & Engineering Berlin London Munich Paris Posted May 6, 2026

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing, we are redefining perception by building foundational intelligence for the physical world. You will research, design, and train large-scale Foundational Models that transform complex multimodal sensor data into cutting-edge autonomous capabilities.

We are seeking an individual at the intersection of AI Research and Machine Learning Engineering, with a proven track record in LLM/VLM/(multimodal) backbones. Your primary focus will be training and fine-tuning Vision-Language Models on our custom datasets to power our different products. You'll be responsible for the entire model lifecycle, from data curation and training to evaluation.

You should apply if you

Hold an MSc or PhD in Machine Learning, Computer Science, or Mathematics with a focus on Deep Learning.
Possess theoretical understanding and practical experience in training Foundational Models (LLMs, VLMs, or other large-scale multimodal models) from scratch or through fine-tuning.
Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX). You don’t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.
Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal research culture.
Have a "first-principles" mindset: you enjoy reading the latest ArXiv papers and implementing them into the codebase rapidly.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

Top-Tier Research Track Record: You have authored publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL) specifically regarding attention mechanisms, efficient transformers, or multimodal learning.
Experience training models on large-scale GPU clusters.
Proven experience in data curation, data cleaning, data pruning, and building robust data pipelines for large-scale datasets.

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
Health & wellness: gym membership and mental health support (Nilo.health)
Social: regular company events and monthly social allowances
Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

Ready to apply?

Helsing

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Principal Data Engineer (m/f/d)

Thoughtworks · Munich, Germany

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1Y_TWDEU SL DATA Hamburg Posted May 5, 2026

Principal data engineers at Thoughtworks, are strategic leaders who spearhead data engineering initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data engineering within the client organization.

They draw upon their profound expertise in developing modern data architectures and infrastructure for the management of data applications.

Effective collaboration is paramount, as data engineers adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members.

At Thoughtworks, data engineers leverage their deep technical knowledge to solve complex business problems, making a significant impact on client success.

Job responsibilities

You will collaborate with sales and pre-sales to clarify requirements and design viable solutions and drive pursuits with technical stakeholders.
You will establish a clear vision and direction for the data paradigm/practices, aligning it with the overall business strategy.
You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
You will consult on complex data platform programs, synchronizing cross-cutting architectural concerns and providing client-facing technical leadership and guidance as a data subject matter expert.
You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.
You will collaborate with data scientists to design scalable implementation and production of their models.
You will write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
You will design and implement the strategy around data governance, data security and data privacy to support business and compliance requirements.
You will represent Thoughtworks in various online and offline forums, including events and conferences.

Job qualifications

Technical Skills

You must have extensive pre-sales experience and a proven ability to independently drive complex pursuits and create winning commercial proposals.
You have experience leading enterprise data strategy, system design, and the end-to-end implementation of large-scale technical solutions.
You are a native-level German speaker (C1) who is comfortable driving consensus and managing expectations with senior technical stakeholders.
You possess hands-on experience in system design using Domain-Driven Design principles for complex enterprise organizations with multiple domains.
Working with data excites you; you have designed Big Data architectures, built and operated data pipelines, and managed data storage within distributed systems.
You have a deep understanding of data modeling and practical experience with modern data engineering tools, platforms, and cloud warehousing solutions.
You are a "hands-on" leader—equally happy writing production-grade code as you are leading a team to implement a vision.
You have built and deployed large-scale data pipelines and data-centric applications using distributed storage and processing platforms in production environments.
You have experience designing and developing streaming solutions (Cloud or On-premise) leveraging leading technologies and industry best practices.
You have experience implementing data governance and security policies, complemented by a solid understanding of MLOps and data science concepts.

Professional Skills

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

See here our AI policy.

Ready to apply?

Apply to Thoughtworks

Thoughtworks

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Backend and Infrastructure Engineer - VC backed startup (Munich)

Cherry Ventures · Munich

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Co-Power Energy Munich Posted May 5, 2026

Cherry Ventures is supporting our portfolio with this hire

Role: Backend & Infrastructure Engineer

We are hiring a Backend & Infrastructure Engineer to build and scale the platform that powers our energy products. You will own the infrastructure and data systems that connect hundreds of battery installations, ensuring reliability, performance, and scalability as we grow.

We are building Co-Power to power Europe's industry. We believe in a future of true energy abundance, where clean electricity is ultra-affordable, resilient, and a competitive advantage for European manufacturers.

We install large-scale batteries at industrial sites and connect them into an intelligent network that manages electricity in real time, turning factories into energy hubs and making intermittent renewables reliable, dispatchable, low-cost power available around the clock.

Our mission is bold – and we're looking for people who don't just want to rethink energy, but to build the energy company of the future.

What You Will Do

Own platform reliability and infrastructure scaling as we grow from pilot sites to hundreds of connected battery systems.
Contribute to data platform architecture – help shape how we ingest, store, and serve time-series data from battery systems and EMS integrations.
Optimize database performance for high-throughput telemetry data at scale.
Design monitoring and alerting logic for system health, timeseries data, and model performance in production.
Build and improve CI/CD pipelines and deployment automation for backend services on AWS.
Work closely with our data science team to bring models into production with a strong focus on robustness and real-world performance.

What We're Looking For

3–5+ years of experience in backend engineering, infrastructure, or platform roles.
Production AWS experience (ECS, Lambda, EventBridge, RDS).
Strong PostgreSQL skills – query optimization, indexing, performance tuning.
Python backend development (FastAPI, SQLAlchemy preferred).
Infrastructure-as-code (Terraform, CDK, or CloudFormation).
Comfort with SQL for data exploration and pipeline development.

Bonus if you are experienced with:

Time-series databases (TimescaleDB, InfluxDB, or similar)
MLOps practices – model versioning, experiment tracking, CI/CD for ML pipelines
Energy sector or IoT experience

Benefits

A competitive salary, potentially alongside equity in Co-Power.
Top-notch equipment. You choose what you need.
A dog-friendly office at Goetheplatz, Munich, with all the usual shenanigans.
While we allow for plenty of flexibility, we ask for an office-first commitment: when you're not traveling, most of your time will be in the office. In an early-stage company, people learn faster, connect better, and accomplish more when they spend meaningful time together.

Cherry Ventures is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Ready to apply?

Apply to Cherry Ventures

Cherry Ventures

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Solution Engineer - Tooling (Vehicle Intelligence)

Applied Intuition · Stuttgart, Baden-Württemberg, Germany

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Engineering Munich Stuttgart Posted May 5, 2026

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

Applied Intuition’s Tools for Vehicle Intelligence (including the Applied Development Platform, also known as ADP) is the end-to-end platform for building and validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data management, and CI/CD validation toolchain.

The platform closes the loop between real-world data collection, scenario extraction, simulation, model training, and evaluation; giving automotive engineering teams the infrastructure to compound performance improvements over time.

At Applied Intuition, you will:

Serve as the primary technical point of contact for customers evaluating Applied Intuition’s simulation and data management tooling
Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain
Support customers in integrating Applied’s platform into their ADAS/AD CI/CD pipelines (SIL, HIL, VIL stages)
Guide customers through the design of closed-loop data flywheels: data collection strategy, curation, labeling, scenario extraction, simulation replay, and evaluation
Help customers configure scenario-based testing and automated pass/fail metrics for their validation programs
Translate customer feedback into actionable product insights for the Applied engineering team
Manage technical workstreams and milestones across multi-stakeholder customer programs

We're looking for someone who has:

3+ years of experience in ADAS/AD development, validation, or simulation at an OEM, Tier 1, or technology company
Hands-on experience with software testing methodologies (unit, SIL, HIL, VIL) for automotive applications
Familiarity with CI/CD pipelines in an automotive or embedded software context
Understanding of sensor types used in ADAS (camera, lidar, radar, ultrasonic) and their data characteristics
Experience with data management pipelines: ingestion, curation, labeling, or scenario extraction
Degree in computer science, electrical engineering, robotics, or related field
Intermediate Programming experience in Python and/or C++
Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

Customer-facing experience and strong communication and presentation skills
Experience with a simulation platform (Applied Intuition, CARLA, IPG CarMaker, dSPACE SIMPHERA, VIRES VTD, or similar)
Familiarity with dSPACE, Vector, or NI toolchains for HIL/SIL test automation
Knowledge of ISO 8800, ISO 26262, ISO 21448, or ASPICE
Experience with ML/AI pipelines for model training or perception system evaluation
Background in fleet data operations, OTA, or post-SOP data-driven improvement loops

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Ready to apply?

Applied Intuition

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Solution Engineer - Tooling (Vehicle Intelligence)

Applied Intuition · München, Bavaria, Germany

Apply now

Engineering Munich Stuttgart Posted May 5, 2026

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

Applied Intuition’s Tools for Vehicle Intelligence (including the Applied Development Platform, also known as ADP) is the end-to-end platform for building and validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data management, and CI/CD validation toolchain.

The platform closes the loop between real-world data collection, scenario extraction, simulation, model training, and evaluation; giving automotive engineering teams the infrastructure to compound performance improvements over time.

At Applied Intuition, you will:

Serve as the primary technical point of contact for customers evaluating Applied Intuition’s simulation and data management tooling
Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain
Support customers in integrating Applied’s platform into their ADAS/AD CI/CD pipelines (SIL, HIL, VIL stages)
Guide customers through the design of closed-loop data flywheels: data collection strategy, curation, labeling, scenario extraction, simulation replay, and evaluation
Help customers configure scenario-based testing and automated pass/fail metrics for their validation programs
Translate customer feedback into actionable product insights for the Applied engineering team
Manage technical workstreams and milestones across multi-stakeholder customer programs

We're looking for someone who has:

3+ years of experience in ADAS/AD development, validation, or simulation at an OEM, Tier 1, or technology company
Hands-on experience with software testing methodologies (unit, SIL, HIL, VIL) for automotive applications
Familiarity with CI/CD pipelines in an automotive or embedded software context
Understanding of sensor types used in ADAS (camera, lidar, radar, ultrasonic) and their data characteristics
Experience with data management pipelines: ingestion, curation, labeling, or scenario extraction
Degree in computer science, electrical engineering, robotics, or related field
Intermediate Programming experience in Python and/or C++
Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

Customer-facing experience and strong communication and presentation skills
Experience with a simulation platform (Applied Intuition, CARLA, IPG CarMaker, dSPACE SIMPHERA, VIRES VTD, or similar)
Familiarity with dSPACE, Vector, or NI toolchains for HIL/SIL test automation
Knowledge of ISO 8800, ISO 26262, ISO 21448, or ASPICE
Experience with ML/AI pipelines for model training or perception system evaluation
Background in fleet data operations, OTA, or post-SOP data-driven improvement loops

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Ready to apply?

Applied Intuition

View all jobs →

Solution Engineer - Vehicle OS

Applied Intuition · Stuttgart, Baden-Württemberg, Germany

Apply now

Engineering Munich Stuttgart Posted May 5, 2026

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition’s Vehicle OS portfolio. In this role you will work closely with vehicle software and tooling teams at OEMs and Tier 1s to ensure Applied’s solutions deliver maximum impact in advancing customers’ Software-Defined-Vehicle (SDV) strategies and in-cabin user experiences.

Vehicle OS is Applied Intuition’s software platform for SDV. It enables OEMs to modernize their E/E architecture through three interconnected areas:

Middleware & architecture Service-oriented, middleware-driven software stacks built on AUTOSAR Adaptive Platform, SOME/IP, and DDS. Helps OEMs migrate from distributed ECU architectures to zonal, centralized compute.
Developer toolchain A code-first toolchain that replaces GUI-bound configuration workflows. Engineers model vehicle behavior in Python, manage changes through pull requests, and validate in virtual ECU environments analogous to what cloud virtual engineering workbenches (e.g., AWS VEW) brought to cloud-native development, but purpose-built for automotive E/E systems.
IVI & in-vehicle infotainment Android Automotive OS (AAOS) based platform, HMI/cluster software, and intelligent in-cabin experiences including Cabin Intelligence (DMS, OMS, voice, occupant interaction).

This role sits at the intersection of all three areas, and the balance will depend on the customer mix.

At Applied Intuition, you will:

Act as the technical bridge between automotive customers and Applied Intuition’s engineering and product teams
Support OEMs in adopting Vehicle OS: middleware stack, developer SDK, and IVI/infotainment integration
Lead technical discussions, architecture reviews, demos, and early-stage deployments with OEM and Tier 1 engineering teams
Help customers adopt Applied’s code-first developer toolchain, onboarding engineering teams onto the SDK, setting up virtual ECU environments, and integrating with customers’ existing CI/CD pipelines
Guide OEMs through the design and implementation of service-oriented vehicle architectures and support system integration across ECUs, domain controllers and high-performance compute
Work with customers’ IVI and infotainment teams on AAOS integration, Linux-based IVI stack deployment, HMI/cluster software, and Cabin Intelligence features (driver monitoring, occupant monitoring, voice/AI interaction)
Collaborate with customers and internal product teams to triage and resolve technical issues
Manage project milestones and communicate progress across multiple customer and internal stakeholders

We're looking for someone who has:

3+ years of experience working with automotive OEMs or suppliers, ideally in SDV, E/E architecture, developer tooling, or in-vehicle infotainment/IVI
Experience with AUTOSAR (Classic or Adaptive) and automotive developer tooling
Familiarity with vehicle communication protocols: SOME/IP, DDS, CAN, LIN, or automotive Ethernet
Experience with at least one of the following:

- Vehicle software developer toolchain: SDK-based development, virtual ECUs, SIL environments, or CI/CD pipelines for automotive software
- IVI / infotainment platforms: Android Automotive OS (AAOS), Linux-based IVI, HMI/cluster software, or display middleware

Execution-driven mindset with strong attention to detail and ability to manage multiple customer engagements in parallel
Experience working directly with customers on complex problems at the intersection of software and vehicle systems
Degree in computer science, electrical engineering, or related field
Basic / intermediate programming experience in C/C++, Python, or similar
Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

Hands-on experience with Applied Intuition’s Vehicle OS or a comparable SDV platform
Knowledge of zonal E/E architectures, HPC platforms, or software-defined networking in vehicles
Experience with OTA systems and vehicle software lifecycle management
Familiarity with ISO 26262 functional safety or SOTIF in the context of IVI or ADAS systems
Experience with Cabin Intelligence technologies: driver monitoring (DMS), occupant monitoring (OMS), or in-cabin perception and AI
Exposure to perception systems or AI/ML pipelines applied to in-vehicle experiences
Experience with simulation environments or digital twin platforms to validate vehicle software
Project management experience in cross-functional, customer-facing programs

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Ready to apply?

Applied Intuition

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Solution Engineer - Vehicle OS

Applied Intuition · München, Bavaria, Germany

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Engineering Munich Stuttgart Posted May 5, 2026

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition’s Vehicle OS portfolio. In this role you will work closely with vehicle software and tooling teams at OEMs and Tier 1s to ensure Applied’s solutions deliver maximum impact in advancing customers’ Software-Defined-Vehicle (SDV) strategies and in-cabin user experiences.

Vehicle OS is Applied Intuition’s software platform for SDV. It enables OEMs to modernize their E/E architecture through three interconnected areas:

Middleware & architecture Service-oriented, middleware-driven software stacks built on AUTOSAR Adaptive Platform, SOME/IP, and DDS. Helps OEMs migrate from distributed ECU architectures to zonal, centralized compute.
Developer toolchain A code-first toolchain that replaces GUI-bound configuration workflows. Engineers model vehicle behavior in Python, manage changes through pull requests, and validate in virtual ECU environments analogous to what cloud virtual engineering workbenches (e.g., AWS VEW) brought to cloud-native development, but purpose-built for automotive E/E systems.
IVI & in-vehicle infotainment Android Automotive OS (AAOS) based platform, HMI/cluster software, and intelligent in-cabin experiences including Cabin Intelligence (DMS, OMS, voice, occupant interaction).

This role sits at the intersection of all three areas, and the balance will depend on the customer mix.

At Applied Intuition, you will:

Act as the technical bridge between automotive customers and Applied Intuition’s engineering and product teams
Support OEMs in adopting Vehicle OS: middleware stack, developer SDK, and IVI/infotainment integration
Lead technical discussions, architecture reviews, demos, and early-stage deployments with OEM and Tier 1 engineering teams
Help customers adopt Applied’s code-first developer toolchain, onboarding engineering teams onto the SDK, setting up virtual ECU environments, and integrating with customers’ existing CI/CD pipelines
Guide OEMs through the design and implementation of service-oriented vehicle architectures and support system integration across ECUs, domain controllers and high-performance compute
Work with customers’ IVI and infotainment teams on AAOS integration, Linux-based IVI stack deployment, HMI/cluster software, and Cabin Intelligence features (driver monitoring, occupant monitoring, voice/AI interaction)
Collaborate with customers and internal product teams to triage and resolve technical issues
Manage project milestones and communicate progress across multiple customer and internal stakeholders

We're looking for someone who has:

3+ years of experience working with automotive OEMs or suppliers, ideally in SDV, E/E architecture, developer tooling, or in-vehicle infotainment/IVI
Experience with AUTOSAR (Classic or Adaptive) and automotive developer tooling
Familiarity with vehicle communication protocols: SOME/IP, DDS, CAN, LIN, or automotive Ethernet
Experience with at least one of the following:

- Vehicle software developer toolchain: SDK-based development, virtual ECUs, SIL environments, or CI/CD pipelines for automotive software
- IVI / infotainment platforms: Android Automotive OS (AAOS), Linux-based IVI, HMI/cluster software, or display middleware

Execution-driven mindset with strong attention to detail and ability to manage multiple customer engagements in parallel
Experience working directly with customers on complex problems at the intersection of software and vehicle systems
Degree in computer science, electrical engineering, or related field
Basic / intermediate programming experience in C/C++, Python, or similar
Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

Hands-on experience with Applied Intuition’s Vehicle OS or a comparable SDV platform
Knowledge of zonal E/E architectures, HPC platforms, or software-defined networking in vehicles
Experience with OTA systems and vehicle software lifecycle management
Familiarity with ISO 26262 functional safety or SOTIF in the context of IVI or ADAS systems
Experience with Cabin Intelligence technologies: driver monitoring (DMS), occupant monitoring (OMS), or in-cabin perception and AI
Exposure to perception systems or AI/ML pipelines applied to in-vehicle experiences
Experience with simulation environments or digital twin platforms to validate vehicle software
Project management experience in cross-functional, customer-facing programs

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Ready to apply?

Applied Intuition

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Solution Engineer

Applied Intuition · Stuttgart, Baden-Württemberg, Germany

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Engineering Munich Stuttgart Posted May 5, 2026

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition's full product portfolio: Vehicle OS (including developer tooling and IVI), Tools for Vehicle Intelligence (ADP/APX), and Self-Driving Systems (SDS). This role is ideal for a candidate with strong automotive software foundations who thrives on variety, is energized by learning new technical domains quickly, and wants to engage with the broadest possible range of cutting-edge automotive challenges.

One engagement might involve guiding an OEM's IVI team through an Android Automotive OS integration; the next could be a deep-dive architecture review with an ADAS validation team, or a technical workshop on autonomy stack deployment with a Tier 1 supplier. This kind of breadth is rare, and for the right person, it is the most accelerated learning environment in the automotive software industry. You will build expertise across SDV, simulation, and autonomy faster than any siloed role would allow, while working directly with some of the most ambitious internal and external engineering teams worldwide.

At Applied Intuition, you will:

Support pre-sales and post-sales customer engagements across Vehicle OS, SDS and Tooling pillars as needed
Conduct technical discovery, demos, and proof-of-concept work across Applied Intuition’s product suite
Adapt technical depth to whichever product pillar is most relevant for a given customer or opportunity
Build cross-pillar proposals where a customer engagement spans multiple product areas
Work closely with Applied Intuition’s product and solution specialists to ramp up on new product areas
Manage multiple concurrent customer engagements and maintain clear internal stakeholder communication

We're looking for someone who has:

4+ years of experience in automotive software development or technical customer engagement, spanning more than one product domain (e.g., ADAS + SDV, simulation + vehicle architecture, IVI + middleware)
Strong automotive software foundations with the ability to engage credibly on topics across E/E architecture, ADAS validation, and/or autonomy systems
Demonstrated ability to learn new technical domains quickly and apply them in a customer-facing context
Track record of managing complex, multi-stakeholder technical programs
Degree in computer science, electrical engineering, or related field
Programming experience in Python and/or C++
Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

Experience spanning both pillars: Vehicle OS/SDV/IVI and ADAS simulation/tooling
Prior Solution Engineering, Field Application Engineering, or technical pre-sales experience
Experience at an OEM, Tier 1, and/or automotive technology company
Familiarity with AUTOSAR (Classic and/or Adaptive)
Knowledge of ISO 26262, SOTIF, or ASPICE

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Ready to apply?

Applied Intuition

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Solution Engineer

Applied Intuition · München, Bavaria, Germany

Apply now

Engineering Munich Stuttgart Posted May 5, 2026

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition's full product portfolio: Vehicle OS (including developer tooling and IVI), Tools for Vehicle Intelligence (ADP/APX), and Self-Driving Systems (SDS). This role is ideal for a candidate with strong automotive software foundations who thrives on variety, is energized by learning new technical domains quickly, and wants to engage with the broadest possible range of cutting-edge automotive challenges.

One engagement might involve guiding an OEM's IVI team through an Android Automotive OS integration; the next could be a deep-dive architecture review with an ADAS validation team, or a technical workshop on autonomy stack deployment with a Tier 1 supplier. This kind of breadth is rare, and for the right person, it is the most accelerated learning environment in the automotive software industry. You will build expertise across SDV, simulation, and autonomy faster than any siloed role would allow, while working directly with some of the most ambitious internal and external engineering teams worldwide.

At Applied Intuition, you will:

Support pre-sales and post-sales customer engagements across Vehicle OS, SDS and Tooling pillars as needed
Conduct technical discovery, demos, and proof-of-concept work across Applied Intuition’s product suite
Adapt technical depth to whichever product pillar is most relevant for a given customer or opportunity
Build cross-pillar proposals where a customer engagement spans multiple product areas
Work closely with Applied Intuition’s product and solution specialists to ramp up on new product areas
Manage multiple concurrent customer engagements and maintain clear internal stakeholder communication

We're looking for someone who has:

4+ years of experience in automotive software development or technical customer engagement, spanning more than one product domain (e.g., ADAS + SDV, simulation + vehicle architecture, IVI + middleware)
Strong automotive software foundations with the ability to engage credibly on topics across E/E architecture, ADAS validation, and/or autonomy systems
Demonstrated ability to learn new technical domains quickly and apply them in a customer-facing context
Track record of managing complex, multi-stakeholder technical programs
Degree in computer science, electrical engineering, or related field
Programming experience in Python and/or C++
Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

Experience spanning both pillars: Vehicle OS/SDV/IVI and ADAS simulation/tooling
Prior Solution Engineering, Field Application Engineering, or technical pre-sales experience
Experience at an OEM, Tier 1, and/or automotive technology company
Familiarity with AUTOSAR (Classic and/or Adaptive)
Knowledge of ISO 26262, SOTIF, or ASPICE

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Ready to apply?

Applied Intuition

View all jobs →

QA Engineer (AI Assistant Features)

JetBrains · Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia

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AI Assistant - QA Belgrade Berlin Munich Prague Warsaw Limassol Paphos Yerevan Madrid Posted May 5, 2026

At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

AI Assistant is an advanced software tool that leverages artificial intelligence to aid developers in various tasks. Our team develops the AI Assistant plugin for JetBrains IDEs. This tool integrates AI into the coding environment, enhancing features like code completion, debugging, and VCS operations. We’re striving to make JetBrains AI Assistant the most useful and intuitive AI-powered tool on the market, focusing on core features such as code completion, code generation, refactoring, and general assistance via chat.

As part of our team, you will:

Perform functional, exploratory, and regression testing.
Design test cases and write specifications.
Reproduce bugs and verify fixes.
Communicate with the team, as well as internal and external users.
Participate in feature discussions and planning.
Have the opportunity to get hands-on experience working with data, performing online experiments, and measuring the impact of features on end users.

Requirements:

Experience in testing without functional specifications.
Knowledge of testing methodologies.
Understanding of programming concepts sufficient for writing simple applications.
Experience with Java or Kotlin.
Commitment to working as a team, sharing your knowledge, and being open to other points of view.

You’ll be great for our team if you:

Have an interest in machine learning.
Have experience working with data and know how to make data-informed decisions.

Why join JetBrains?

Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

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JetBrains

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System Safety Engineer (all genders)

MOIA GmbH · Berlin, Germany; Hamburg, Germany; Hannover, Germany; Munich, Germany; Wolfsburg, Germany

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Autonomous Driving & Vehicle Systems Berlin Hamburg Hannover Munich Wolfsburg Posted May 5, 2026

Join us as a System Safety Engineer (all genders) to strengthen our Safety Operations team for autonomous vehicle programs.

At MOIA, we are shaping the future of autonomous mobility. As we move towards driverless SAE Level 4 operations in public traffic, safety becomes even more deeply embedded in the way we design, operate, and continuously improve our services.

With the safety driver no longer part of the operational setup, risks increasingly emerge from the interaction of complex systems: the autonomous driving stack, remote operations, hub infrastructure, service processes, and the people working with them.

As a System Safety Engineer, you will help build the safety organization for driverless autonomous vehicle operations. You will look at the full socio-technical system end to end, model its dependencies, identify operational risks, and support well-founded safety decisions using methods such as FTA, FMEA, STPA, and Bow-Tie analysis.

What you will do

Model the overall operational system — including vehicle, remote center, hub management, service, and development — as a system of systems, with a strong focus on risks at interfaces.
Conduct systematic hazard identification and risk analysis at system level, using methods such as FTA, FMEA, STPA, HAZOP, and Bow-Tie.
Review and assess safety evidence and argumentation structures, including safety cases, safety concepts, and HARA, as part of vehicle acceptance into fleet operations.
Evaluate the safety impact of software releases and new operational configurations.
Maintain the operational Risk Dossier, prepare Safety Risk Acceptability decisions, and track mitigations through to closure.

What will help you to fulfill your role

Must-haves:

Experience in safety-critical environments, such as functional safety, system safety, or operational safety in complex, software-driven systems, including autonomous vehicles, robotics, aviation, rail, or similar domains.
Strong systems thinking and the ability to model interdisciplinary systems of systems and analyze their interactions.
Hands-on experience with system-level safety analysis methods such as FTA, FMEA, STPA, HAZOP, or Bow-Tie — beyond component-level analysis.
A structured, process-oriented mindset and strong attention to detail.
The ability to balance safety, operational continuity, and regulatory expectations.
A high sense of responsibility, integrity, and ownership for safety.
Fluent English and good German skills, both spoken and written.

Nice-to-have

Understanding of Level 4 autonomous driving architectures, operational design domains, and human-machine interaction in operational contexts.
Experience in operational safety, incident response, or fleet operations within a regulated environment.
Experience supporting regulatory assessments, audits, or safety approvals.
The ability to synthesize complex technical information into coherent safety arguments for both technical and non-technical audiences.

We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

Our benefits in a nutshell

Competitive salary (including bonus)
Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration!
Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.)
Budget and monthly expense allowance for home office setup
Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog!
Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides
Subsidized fitness club membership or bike leasing
Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes
Mental health support, 1:1 sessions with external professionals and mental unload workshops
30 vacation days, sabbatical and unpaid leave option
Relocation support with service provider (visa, administration, etc.)
Dog-friendly offices

For student & internship positions, we have an adjusted set of benefits. You can find them here.

Be who you are!

We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.

In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.

How we work

At MOIA, our teams are typically distributed across locations and collaborate in a hybrid setup. We work together both remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team’s rhythm.

Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having the freedom to organise their routines in a way that aligns with their work and their team’s needs.

If you’d like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on Instagram for a look behind the scenes at MOIA.

Who we are

At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.

We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving.

With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission.

MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.

Your application to MOIA

We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.

To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.

Ready to apply?

Apply to MOIA GmbH

MOIA GmbH

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Founding ML Engineer (Spectrum)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

Spectrum Armenia Cyprus Czech Republic Germany Poland Serbia Spain United Kingdom Amsterdam Posted Apr 28, 2026

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
Establishing MLOps practices, including orchestration, observability, and experiment tracking.
Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

A proven track record as an ML/AI Lead.
At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
Hands-on experience with:

Prompt engineering and LLM pipeline design, including evaluation.
Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
Vector databases and retrieval-augmented generation (RAG) patterns.
Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.

Strong Python skills – Kotlin knowledge would be a plus.
Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
Proficiency in English, both written and verbal.

Our ideal candidate would have:

Experience with ontologies, knowledge graphs, or graph-based reasoning.
Experience in early-stage startups – you enjoy the zero-to-one phase.
The ability to think strategically about product-led AI, beyond just training models in isolation.
A background in code analysis, developer tools, or software engineering research.
Experience with multi-agent systems or complex agentic workflows.
Actively contributed to relevant open-source projects or publications.

What we offer

A competitive salary and JetBrains benefits.
A generous runway and corporate resources with startup autonomy.

#LI-KP1

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

JetBrains

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Senior AI/ML Engineer (Spectrum)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Warsaw, Poland; Yerevan, Armenia

Apply now

Spectrum Armenia Cyprus Czech Republic Germany Poland Serbia Spain United Kingdom Amsterdam Posted Apr 28, 2026

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
Hands-on experience with:

Prompt engineering and LLM pipeline design, including evaluation.
Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
Retrieval-augmented generation (RAG) patterns and vector databases.
Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.

Strong Python skills – Kotlin knowledge would be a plus.
Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
Proficiency in English, both written and verbal.

Our ideal candidate would also have:

Experience with ontologies, knowledge graphs, or graph-based reasoning.
Experience in early-stage startups – you enjoy the zero-to-one phase.
A background in code analysis, developer tools, or software engineering research.
Experience with multi-agent systems or complex agentic workflows.
Actively contributed to relevant open-source projects or publications.

What we offer:

A competitive salary and JetBrains benefits.
A generous runway and corporate resources with startup autonomy.
A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

JetBrains

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Applied AI Architect, Industries

Anthropic · Munich, Germany

Apply now

Applied AI Munich, Germany Posted Apr 24, 2026

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native German speaker with fluent English proficiency
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

€190.000—€215.000 EUR

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Ready to apply?

Apply to Anthropic

Anthropic

View all jobs →

Applied AI Architect, Partnerships

Anthropic · Munich, Germany

Apply now

Sales Munich, Germany Posted Apr 24, 2026

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities:

Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Ready to apply?

Apply to Anthropic

Anthropic

View all jobs →

Software Engineer - Workbench

Applied Intuition · Stockholm, Stockholm, Sweden

Apply now

Developer Tooling Munich Stockholm Posted Apr 21, 2026

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

Meet our software engineers!

Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates.

About the role

You will streamline developer workflows and deployment infrastructure for complex automotive systems, identifying friction to improve velocity and reliability. By building robust HIL/SIL validation pipelines and leveraging cloud-based CI/CD, you will evolve the tooling and automation platforms necessary to scale modern embedded software development across the entire lifecycle.

At Applied Intuition, you will:

Design, build, and improve the tools, libraries, and frameworks for our engineering team
Develop and evolve CI/CD pipelines for embedded and automotive software, including SIL and HIL test environments
Build and test scalable tools for deploying to various automotive and cloud platforms
Optimize our compile/build times using tools like Bazel, CMake, Docker
Improve software deployment and data collection frameworks
Identify and solve bottlenecks within our software stack

We're looking for someone who has:

5+ years of relevant experience
A Bachelor's degree in Computer Science, Software Engineering, or equivalent
Some experience using Python, Go, Java, or Kotlin
Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
Exposure to embedded, automotive, SIL/HIL, or hardware-adjacent environments is highly desirable
Experience with Linux and/or ARM systems

Nice to have:

Experience using C and C++
Experience working in automotive or related industries
Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks

Lunch and dinner allowance
Fitness (600 USD) and learning stipends (1,000 USD) annually
Stock options

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 511.200 - 1.098.200 SEK yearly.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Ready to apply?

Applied Intuition

View all jobs →

Software Engineer - Workbench

Applied Intuition · München, Bavaria, Germany

Apply now

Developer Tooling Munich Stockholm Posted Apr 21, 2026

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

Meet our software engineers!

Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates.

About the role

You will streamline developer workflows and deployment infrastructure for complex automotive systems, identifying friction to improve velocity and reliability. By building robust HIL/SIL validation pipelines and leveraging cloud-based CI/CD, you will evolve the tooling and automation platforms necessary to scale modern embedded software development across the entire lifecycle.

At Applied Intuition, you will:

Design, build, and improve the tools, libraries, and frameworks for our engineering team
Develop and evolve CI/CD pipelines for embedded and automotive software, including SIL and HIL test environments
Build and test scalable tools for deploying to various automotive and cloud platforms
Optimize our compile/build times using tools like Bazel, CMake, Docker
Improve software deployment and data collection frameworks
Identify and solve bottlenecks within our software stack

We're looking for someone who has:

5+ years of relevant experience
A Bachelor's degree in Computer Science, Software Engineering, or equivalent
Some experience using Python, Go, Java, or Kotlin
Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
Exposure to embedded, automotive, SIL/HIL, or hardware-adjacent environments is highly desirable
Experience with Linux and/or ARM systems

Nice to have:

Experience using C and C++
Experience working in automotive or related industries
Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks

Lunch and dinner allowance
Fitness (600 USD) and learning stipends (1,000 USD) annually
Stock options

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 94,400-156,429 EUR yearly.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Ready to apply?

Applied Intuition

View all jobs →

Senior Systems Software Engineer

Terra Quantum · Germany - Hybrid; Munich, Germany

Apply now

Applied Research Munich Posted Apr 15, 2026

The Role

The Senior Systems Software Engineer will be a member of the core team building the Quantum Key Distribution system. The focus is on high-performance Python services on Linux, algorithm optimization and acceleration (also via hardware offload), and the role spans defining software architecture, integrating with FPGA/embedded subsystems, and turning requirements into reliable, observable software.

The Senior Systems Software Engineer leads and co-owns the overall internal QKD software architecture and client-facing software API. By setting engineering standards, mentoring, and unblocking delivery, they ensure predictable releases and a strong execution cadence.

The Responsibilities

The Senior Systems Software Engineer should expect to work in the following activities.

System architecture
- Leading and co-owning the QKD software architecture: control plane services, key sifting/postprocessing integration, configuration management, monitoring, and external interfaces
- Defining module boundaries and service APIs; evolving the system toward clear data/control-plane separation

Efficient implementation and hardware/software integration
- Designing and implementing high-performance Python services on Linux (asyncio, WebSockets, NumPy); profiling and tuning for latency and throughput
- Developing, profiling, and optimizing QKD sifting and postprocessing algorithms (signal handling/processing, error correction/information reconciliation, LDPC, privacy amplification) to maximize key rate and minimize end-to-end latency; applying algorithmic improvements and implementation techniques (vectorization, concurrency/async, memory/layout tuning, C/C++ extensions, SIMD/CUDA/GPU/FPGA offload where appropriate)
- Defining and maintaining robust interfaces with embedded/FPGA system components over UART/USB/PCIe/Ethernet; respecting realtime constraints and failure modes
- Guiding downstream system integration (WebSockets/gRPC/REST) and ensuring clear contracts and backward compatibility
- Designing for test – building mocks/simulators and automated test systems

DevOps
- Building and maintaining CI/CD with Docker and GitHub Actions; automated tests, static analysis, artifact management, and release pipelines
- Establishing observability (structured logging, metrics, tracing) and operational runbooks; improving reliability and debuggability with SLOs/alerts
- Embedding security and crypto hygiene by default: secure transport, secrets management, key handling, and coordination with cryptography stakeholders
- Adding performance benchmarking and regression tracking for key rate and end-to-end latency; integrating profiling/flame graphs into CI and enforcing performance budgets

The Requirements

The Senior Systems Software Engineer is expected to have the following qualifications and experience.

5+ years of Python development; 3+ years leading or co‑owning service/system architecture for a hardware‑first product

Strong Linux async Python (asyncio, WebSockets), concurrency (threads/processes), profiling/tuning

Proven custom hardware integration (MCU, FPGA) over UART/USB/PCIe/Ethernet

CI/CD with Docker and GitHub Actions; automated testing, static analysis, artifact management

Experience with GPU & CUDA acceleration/optimization; SIMD familiarity

Production observability (logging/metrics/tracing) and incident/debug practices

Working knowledge of relational/key-value/time-series stores (PostgreSQL/Redis/Prometheus)

Security by Default mindset: secrets, secure transport, key/crypto hygiene

Proficiency in written and spoken English

Ability to be on-site in Munich office several times per week

Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship.
Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have:

Experience with QKD systems, cryptography, or high‑rate data pipelines

Exposure to C/C++ for low‑level interfacing and FPGA/embedded ecosystems

Familiarity with gRPC/Protobuf, schema/versioning strategies, and Kubernetes

The Rewards

We are an international team of quantum technology experts and dedicated business creatives that are working to bring quantum-enabled solutions to the global market. Our brilliant team members enjoy a high degree of freedom working remotely or joining one of our office spaces. We have a vibrant, enthusiastic, passionate and creative culture driven by trust, excellence and continuous improvement. If you join the Terra Quantum team, you can expect:

An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an experienced and progressive Leadership team
Gain knowledge of some of the most cutting-edge technology developments in science & engineering
A chance to be part of one of Europe’s leading technology firms of the upcoming decades
Welcoming, friendly, and professional colleagues
A personal development plan with clear goals for advancement
A competitive salary
Flexible working arrangements
A diverse and supportive atmosphere, where innovation and initiative are encouraged

If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let’s talk!

Company description

Quantum technologies have the potential to solve some of the world’s biggest challenges. There have been great advances in all areas of quantum technologies, and new fields of application are opened up every day. Hybrid computer systems that combine classic high-performance computing with quantum computers are already being used to develop solutions in sectors such as logistics, healthcare, finance, energy, automotive and aerospace. Quantum mechanical predictions are also used to obtain unprecedented precision in measurements, generate unbreakable codes, and form the basis of impenetrable communication networks. All these developments are happening right now, and they are happening at Terra Quantum.

At Terra Quantum we are building the world’s leading Quantum Technology company. We offer customers world-class quantum technology expertise organized as “quantum-as-a-service”: hybrid quantum algorithms, quantum compute and quantum enabled security solutions. Through the proprietary quantum cloud, customers have access to a unique technology platform which provides a toolset to solve real-world challenges in the realms of machine learning, optimization and simulation, today. In 2022, the company closed its Series A financing round with a $75m fundraise.

Quantum physics has, in some respects, parallels to the machine language of our computers-the zeros and ones into which our keyboard or touchscreen instructions are translated for execution in the computer-only on a larger scale: it is the machine language of the universe. The second quantum revolution is based on the control of individual quantum systems, such as individual atoms. We use quantum computers to solve currently unsolvable problems, simulate molecules and their interactions, find drugs for diseases that are not yet curable, find new materials, or make artificial intelligence stronger. Quantum is now.

Terra Quantum is a future-focused quantum services and technology company working on making the second quantum revolution a reality. Terra Quantum’s activities span all areas, markets, and industries globally.

Our purpose is to pioneer quantum technologies to change the world for good,
Our vision is to lead the quantum revolution and be the trailblazer in technology solutions, shaping a better future for humankind to thrive in, and
Our mission is to unleash the power of quantum tech to deliver meaningful solutions today

Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well-being.

Ready to apply?

Apply to Terra Quantum

Terra Quantum

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Senior FPGA Developer (SystemVerilog)

Terra Quantum · Germany - Hybrid

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Applied Research Munich Posted Apr 15, 2026

The Role

The Senior FPGA Developer will be a member of the core team building the Quantum Key Distribution system. The focus is end‑to‑end RTL ownership on AMD/Xilinx (Artix‑7, Kintex UltraScale): architect, implement, verify, and close timing on high‑rate interfaces and deterministic pipelines. The role also sets engineering discipline for FPGA development and mentors a junior engineer.

The Senior FPGA Developer owns the FPGA architecture/codebase and collaborates closely with embedded/software to define clean contracts, ensure reliable bring‑up, and deliver reproducible, versioned bitstreams.

The Responsibilities

The Senior FPGA Developer should expect to work in the following activities.

RTL architecture, interfaces, and rather high-speed datapaths
- Owning SystemVerilog RTL architecture/implementation for Artix‑7 and Kintex UltraScale (SystemVerilog, Vivado)
- Implementing DDR3/DDR4 controllers integration, PCIe endpoint/DMA, and Ethernet/SFP paths; evaluating/integrating third‑party MAC/PCS IP
- Building deterministic acquisition/timing/sifting layers — packetization, buffering, alignment; robust clocking/CDC/reset; custom low‑level protocols — and bridging them to high‑throughput interfaces (DDR/PCIe)
- Defining clear AXI/AXI‑Stream boundaries and register maps for SW/FW integration

Constraints, timing closure, and floorplanning
- Authoring and maintaining XDC constraints (clocks, I/O, exceptions); achieving consistent timing closure across corners
- Applying practical floorplanning (pblocks, placement guidance) and CDC methodology; analyzing reports and iterating for margin

Verification and CI
- Establishing a professional verification environment with ModelSim/Questa; developing self‑checking testbenches and regression suites; integrating Python/cocotb co‑simulation with software harnesses/mocks; defining coverage goals (OSVVM/UVM as appropriate)
- Building CI for lint/sim/synth/impl; archiving reports/bitstreams; automating regressions (including cocotb) and basic HW‑in‑the‑loop smoke tests

Bring-up, debug, and releases
- Board bring-up and debug using ILA/logic analyzers; link training, memory calib, and protocol bring-up
- Owning bitstream packaging, versioning, and release notes; ensuring reproducible builds and traceable artifacts

Cross-team collaboration and mentoring
- Driving system integration with SW/FW: register/driver contracts, throughput/latency budgets, HIL
- Mentoring a junior engineer; codifying style guides, reviews, and design documentation

The Requirements

The Senior FPGA Developer is expected to have the following qualifications and experience.

5+ years production FPGA on AMD/Xilinx; expert SystemVerilog RTL

Demonstrated mentoring of junior engineers

Strong constraints/timing (XDC), CDC/reset, and practical floorplanning; consistent timing closure

Hands‑on DDR3/DDR4, PCIe endpoints/DMA, Ethernet/SFP; integrating/evaluating third‑party MAC/PCS IP

Strong verification background; experience with self-checking testbenches and regression testing, proficiency with ModelSim/Questa. Knowledge of OSVVM/UVM is a plus

CI for HDL: scripted sim/synth/impl (Tcl/Make/Python), lint, artifact/version management; board bring‑up and ILA‑based debug

System integration with SW/FW: register maps, driver contracts, HIL

Proficiency in written and spoken English

Ability to be on-site in Munich or Potsdam offices to work with hardware, when required
Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship.
Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have:

AXI4/AXI‑Stream expertise and DMA performance tuning

Formal verification exposure

Scripting for automation (Python/Tcl) and CI systems (GitHub Actions/Jenkins)

MicroBlaze/Zynq ecosystems and low‑level FW/C driver collaboration

Proven delivery on Artix‑7 and/or Kintex UltraScale with Vivado

The Rewards

We are an international team of quantum technology experts and dedicated business creatives that are working to bring quantum-enabled solutions to the global market. Our brilliant team members enjoy a high degree of freedom working remotely or joining one of our office spaces. We have a vibrant, enthusiastic, passionate and creative culture driven by trust, excellence and continuous improvement. If you join the Terra Quantum team, you can expect:

An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an experienced and progressive Leadership team
Gain knowledge of some of the most cutting-edge technology developments in science & engineering
A chance to be part of one of Europe’s leading technology firms of the upcoming decades
Welcoming, friendly, and professional colleagues
A personal development plan with clear goals for advancement
A competitive salary
Flexible working arrangements
A diverse and supportive atmosphere, where innovation and initiative are encouraged

If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let’s talk!

Company description

Quantum technologies have the potential to solve some of the world’s biggest challenges. There have been great advances in all areas of quantum technologies, and new fields of application are opened up every day. Hybrid computer systems that combine classic high-performance computing with quantum computers are already being used to develop solutions in sectors such as logistics, healthcare, finance, energy, automotive and aerospace. Quantum mechanical predictions are also used to obtain unprecedented precision in measurements, generate unbreakable codes, and form the basis of impenetrable communication networks. All these developments are happening right now, and they are happening at Terra Quantum.

At Terra Quantum we are building the world’s leading Quantum Technology company. We offer customers world-class quantum technology expertise organized as “quantum-as-a-service”: hybrid quantum algorithms, quantum compute and quantum enabled security solutions. Through the proprietary quantum cloud, customers have access to a unique technology platform which provides a toolset to solve real-world challenges in the realms of machine learning, optimization and simulation, today. In 2022, the company closed its Series A financing round with a $75m fundraise.

Quantum physics has, in some respects, parallels to the machine language of our computers-the zeros and ones into which our keyboard or touchscreen instructions are translated for execution in the computer-only on a larger scale: it is the machine language of the universe. The second quantum revolution is based on the control of individual quantum systems, such as individual atoms. We use quantum computers to solve currently unsolvable problems, simulate molecules and their interactions, find drugs for diseases that are not yet curable, find new materials, or make artificial intelligence stronger. Quantum is now.

Terra Quantum is a future-focused quantum services and technology company working on making the second quantum revolution a reality. Terra Quantum’s activities span all areas, markets, and industries globally.

Our purpose is to pioneer quantum technologies to change the world for good,
Our vision is to lead the quantum revolution and be the trailblazer in technology solutions, shaping a better future for humankind to thrive in, and
Our mission is to unleash the power of quantum tech to deliver meaningful solutions today

Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well-being.

Ready to apply?

Apply to Terra Quantum

Terra Quantum

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Electronics Design Engineer

Terra Quantum · Germany - Hybrid; Munich, Germany

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Applied Research Munich Posted Apr 15, 2026

The Role

The Electronics Design Engineer will be a member of the hardware team delivering low‑noise, high‑frequency mixed‑signal control and instrumentation for our QKD systems. The role spans end‑to‑end board design in Altium (schematics, layout, DFM/DFT), precision analog signal chains, prototype bring‑up/validation, and, where needed, STM32 (F4/H7) firmware in C for control, calibration, and integration. You will work with existing automated measurement software in Python and extend it where needed, collaborate closely with optics, FPGA, and software, and support manufacturing.

The Responsibilities

The Electronics Design Engineer should expect to work in the following activities.

Hardware design, prototyping, and validation
- Owning hardware architecture and component selection for precision, lownoise, and highfrequency performance
- Designing lownoise analog and mixedsignal schematics and PCB layout in Altium
- Managing prototype builds and vendors; executing bringup; precision and highfrequency measurements (DC accuracy, noise spectral density, longterm drift, frequency response); lab debug and reworks
- Working with existing automated measurement software (Python) and extending it where needed
Firmware development on STM32 and interfacing in Python (secondary scope)
- Designing and modifying STM32 F4/H7 firmware in C (HAL)
- Interfacing with Python drivers/scripts for control and data acquisition

Test automation and CI
- Building and extending automated board/firmware test setups (Python; instrument control via VISA/SCPI through the existing automated measurement software) to capture logs/metrics
- Establishing repeatable build/test pipelines for firmware and board validation; archiving artifacts, measurements, and calibration data

Manufacturing support and releases
- Producing manufacturing packages; supporting vendors through fabrication and assembly; designing/maintaining simple test fixtures
- Owning hardware/firmware versioning and release notes; maintaining traceable revisions

Cross‑team collaboration and documentation
- Collaborating with optics/FPGA/software on interfaces, calibration, timing/latency budgets, and integration
- Authoring design docs, analyses and budgets, calibration/bringup procedures, and change logs
- Maintaining detailed experimental documentation in Confluence

The Requirements

The Electronics Design Engineer is expected to have the following qualifications and experience.

5+ years analog/mixedsignal electronics design for R&D/instrumentation; strong Altium for schematics and PCB layout; DFM/DFT

Deep analog fundamentals: lownoise signal chains (e.g., highfrequency TIAs/preamps, ADC drivers, antialiasing/reconstruction filters), precision references/measurements, grounding/guarding/shielding, lowleakage layout

Ability to set/close noise and error budgets; tolerance/Monte Carlo and worstcase analysis; SPICEclass simulation (LTspice/PSPICE, etc.)

Lab expertise: precision/HF measurements (DC accuracy, noise spectral density, longterm drift, frequency response, temperature dependency); oscilloscopes, spectrum analyzers; VNA as applicable

Awareness of EMC/EMI and safety constraints; designforcompliance and precompliance testing

Python for lab/test automation and instrument control; Git‑centric workflow

Proficiency in written and spoken English

Ability to be on‑site in Munich or Potsdam offices to work with hardware, when required

Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship.
Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have:

STM32 F4/H7 exposure; C with HAL

Familiarity with STM32 bootloaders/updates (DFU/OTA)

Experience with calibration flows and production test fixtures

The Rewards

We are an international team of quantum technology experts and dedicated business creatives that are working to bring quantum-enabled solutions to the global market. Our brilliant team members enjoy a high degree of freedom working remotely or joining one of our office spaces. We have a vibrant, enthusiastic, passionate and creative culture driven by trust, excellence and continuous improvement. If you join the Terra Quantum team, you can expect:

An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an experienced and progressive Leadership team
Gain knowledge of some of the most cutting-edge technology developments in science & engineering
A chance to be part of one of Europe’s leading technology firms of the upcoming decades
Welcoming, friendly, and professional colleagues
A personal development plan with clear goals for advancement
A competitive salary
Flexible working arrangements
A diverse and supportive atmosphere, where innovation and initiative are encouraged

If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let’s talk!

Company description

Quantum technologies have the potential to solve some of the world’s biggest challenges. There have been great advances in all areas of quantum technologies, and new fields of application are opened up every day. Hybrid computer systems that combine classic high-performance computing with quantum computers are already being used to develop solutions in sectors such as logistics, healthcare, finance, energy, automotive and aerospace. Quantum mechanical predictions are also used to obtain unprecedented precision in measurements, generate unbreakable codes, and form the basis of impenetrable communication networks. All these developments are happening right now, and they are happening at Terra Quantum.

At Terra Quantum we are building the world’s leading Quantum Technology company. We offer customers world-class quantum technology expertise organized as “quantum-as-a-service”: hybrid quantum algorithms, quantum compute and quantum enabled security solutions. Through the proprietary quantum cloud, customers have access to a unique technology platform which provides a toolset to solve real-world challenges in the realms of machine learning, optimization and simulation, today. In 2022, the company closed its Series A financing round with a $75m fundraise.

Quantum physics has, in some respects, parallels to the machine language of our computers-the zeros and ones into which our keyboard or touchscreen instructions are translated for execution in the computer-only on a larger scale: it is the machine language of the universe. The second quantum revolution is based on the control of individual quantum systems, such as individual atoms. We use quantum computers to solve currently unsolvable problems, simulate molecules and their interactions, find drugs for diseases that are not yet curable, find new materials, or make artificial intelligence stronger. Quantum is now.

Terra Quantum is a future-focused quantum services and technology company working on making the second quantum revolution a reality. Terra Quantum’s activities span all areas, markets, and industries globally.

Our purpose is to pioneer quantum technologies to change the world for good,
Our vision is to lead the quantum revolution and be the trailblazer in technology solutions, shaping a better future for humankind to thrive in, and
Our mission is to unleash the power of quantum tech to deliver meaningful solutions today

Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well-being.

Ready to apply?

Apply to Terra Quantum

Terra Quantum

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Security Engineer, Identity and Access Management (IAM)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia

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Security Armenia Cyprus Czech Republic Germany Netherlands Poland Serbia Spain Posted Apr 14, 2026

At JetBrains, code is our passion. Since 2000, we’ve focused on helping developers work faster by automating routine checks and fixes. Our tools are used by over 12.5 million people worldwide, including eighty-eight Fortune Global 100 companies.

We are seeking a detail-oriented IAM Security Specialist to lead the integration, support, and governance of our identity ecosystem. You will be the bridge between technical implementation and security compliance, ensuring that every identity, whether human or machine, has exactly the permissions it needs and nothing more. Your focus will be on building scalable RBAC models and maintaining a rigorous access review cycle.

Key responsibilities

System integration and support:

Lead the technical integration of new applications and services into our centralized IAM platform.
Provide expert support for complex authentication/authorization issues and serve as a technical escalation point.
Maintain and optimize IAM infrastructure, including SSO (SAML, OAuth 2.0, OIDC), MFA, and PAM solutions.

Access governance and permission reviews:

Execute and oversee periodic access re-certifications, ensuring compliance across periodic audit cycles (SOC 2).
Conduct detailed permission reviews for individuals and system integrations to enforce the Principle of Least Privilege (PoLP).

RBAC and ABAC modeling:

Design, document, and implement Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) frameworks across a wide range of systems.
Partner with cross-functional teams (IT, Product, HR) to define business roles and translate them into technical entitlements.

Required skills and experience

3+ years of professional experience focused on Identity and Access Management (IAM) engineering or architecture.
Proven experience administering enterprise IAM solutions and integrating them with diverse systems (e.g., Okta, Auth0, Ping Identity, Microsoft Entra ID).
Scripting and automation skills using a scripting language such as Python, Go, Bash, or PowerShell.
Familiarity with cloud IAM solutions (e.g., AWS IAM, GCP IAM).
Solid understanding of networking, security protocols, and SSO technologies and standards, including SAML, OAuth 2.0, and OIDC.

Preferred qualifications

Experience in the software development industry, particularly with managing access to source code repositories (Git/GitHub/GitLab) and CI/CD tools (TeamCity, GitLab CI).
Hands-on experience with Privileged Access Management (PAM) concepts and tools.
Knowledge of Zero Trust Architecture (ZTA) principles and how to apply them to developer workflows.
Security certifications (e.g., CISSP, CISA, relevant vendor certifications).
Familiarity with compliance frameworks relevant to software vendors (SOC 2).

Why join JetBrains?

JetBrains provides a highly technical and intellectually stimulating environment. You'll work on identity and access management systems used by millions of developers, with the opportunity to work with cutting-edge technologies every day. Help us keep our tools and systems secure.
We offer:

Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family.
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.
#LI-DNI

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

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JetBrains

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Customer Success Manager, DACH

Anthropic · Munich, Germany

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Sales Munich, Germany Posted Apr 13, 2026

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.

As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.

Responsibilities:

Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures

You may be a good fit if you have:

6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
Experience explaining and demonstrating technical products to various audiences
Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Strong project management skills and ability to manage multiple customer relationships
Passion for AI and interest in responsible development of advanced systems
Experience working in and building a growing region, while navigating across time zones with US-based headquarters
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
(Bonus) Fluency in French, German, Spanish or Italian

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

€150.000—€230.000 EUR

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Ready to apply?

Apply to Anthropic

Anthropic

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Staff Systems Engineer - Design Assurance

Fernride · Munich (hybrid/onsite)

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Engineering München Posted Apr 10, 2026

FERNRIDE is an equal opportunity employer. We are committed to Diversity, Equity, Inclusion & Belonging because we value and celebrate everyone's differences and individuality. We strive to create an open, safe space in which you feel empowered and authentic. FERNRIDE has 50 employees from 10+ countries. Our culture is characterized by the company values and fundamentals:

#wewinasoneteam #weexecuteanddeliver #weareambitiousinnovators #weareopentochange #weputcustomervaluefirst #respect #professionalism #safety.

The Quantum Systems Land Domain is developing leading-edge autonomous UGV technology for defense — a domain where no blueprint exists. The product strategy starts with a UGV that is useful on today’s battlefields and can be built with current technology, then progressively increases the authority of the autonomy system while reducing the need for human supervision — across ever more complex operating environments, up to fully autonomous operation in proximity to civilians.

As a senior design assurance expert, you will own and shape this discipline from the ground up: establish the safety architecture, build the assurance processes, and drive design integrity across hardware, software, and ML. You will bridge the gap between safety analysis and engineering implementation — working with system safety, product security, engineering teams, and V&V to ensure safety functions are correctly implemented through the technical architecture. As the product matures, you will grow your domain into a team.

What you will work on / How you will leave your footprint

Establish and maintain the design assurance process, ensuring safety functions are correctly implemented through the technical architecture.
Conduct hardware safety analysis — FMEA/FMECA, failure rate analysis, diagnostic coverage, component derating, and environmental qualification.
Conduct software safety analysis — architecture assessment, identification of safety-relevant software components, and definition of software safety requirements.
Conduct ML element assurance — data governance, model validation, robustness testing, performance monitoring, and uncertainty quantification for safety-relevant ML components.
Contribute to component selection for safety-critical functions — evaluate against reliability data, failure mode profiles, and supply chain maturity.
Define safety mechanisms — redundancy, monitoring, plausibility checks, safe-state transitions, and watchdogs.
Drive fault injection test design — fault models, injection points, expected responses, and coverage targets.
Contribute to cost-benefit tradeoffs between alternative safety architectures and recommend the most efficient path to required integrity.
Contribute to technical risk acceptance — assess residual failure probabilities and confirm design meets allocated integrity targets.
Maintain safety concept documents defining safety architecture, fault models, diagnostic strategy, and safe-state definitions.
Own and maintain the system requirements baseline — translate safety measures, security controls, and design needs into verifiable requirements with full traceability.
Manage compliance matrices for design-level regulations (Low Voltage Directive, EMC Directive, Battery Regulation, REACH, RoHS, POPs).
Maintain environmental compliance documents (LCEP, EDC, ETS), substance register, and project handbook.
Coordinate with System Safety to receive safety function allocations and integrity targets; provide feasibility and cost-benefit feedback; escalate when targets are infeasible.
Coordinate with Product Security on shared technical architecture — fail-safe vs. fail-secure behavior, component selection criteria, and unified software development guidelines.
Translate system requirements into hardware design rules, software coding guidelines, and integration test requirements for engineering teams; participate in design reviews and FMEA workshops.
Define verification criteria and fault injection test cases on system requirements for V&V; specify coverage targets; review and accept V&V evidence for design-level safety claims.
Develop and maintain AI-assisted workflows for requirements management, compliance auditing, and traceability verification.

What you bring to the team

Hands-on expertise in hardware safety, software safety, and fault-tolerant system design — FMEA/FMECA, diagnostic coverage analysis, safe-state design, and safety mechanism specification — with an engineering mindset and hands-on attitude.
Experience translating high-level safety functions into verifiable, allocatable system requirements and managing full traceability across the engineering lifecycle.
Ability to evaluate cost-benefit tradeoffs between alternative safety architectures and present quantitative safety arguments (PFH, PFHd, MTTFd, DCavg, SFF, PL metrics).
Strong collaboration skills — you bridge the gap between safety analysis and engineering implementation.
Interest in AI-assisted engineering workflows and willingness to shape how AI tools support requirements management and compliance verification.
Comfortable working with software development tools — GitHub, VS Code, Bazel, Markdown, CI/CD pipelines — to operate and evolve the AI-assisted methodology.

Nice to have

Working knowledge of IEC 61508, ISO 13849, ISO 12100, or ISO 26262 and their application to mixed-criticality architectures.
Working knowledge of relevant EU instruments — Machinery Regulation, Low Voltage Directive, EMC Directive, Battery Regulation, and AI Act (ML element assurance aspects).
Understanding of environmental qualification and its impact on component selection and reliability claims (AECTP, substance regulations).
Understanding of electrical safety (HV/LV design, insulation coordination, protective bonding) and EMF exposure assessment.
Understanding of mechanical safety — structural integrity, stability analysis, guarding, and safe integration of HV installations.

What we offer @ FERNRIDE

At FERNRIDE, we believe in empowering you to thrive both personally and professionally. Our benefits are thoughtfully designed to support your growth, well-being, and aspirations while fostering a strong sense of work-life harmony. Here’s how we support you:

Flexible working hours & remote work
All-day breakfast and unlimited drinks, fruits, and snacks
Lunch subsidy
Select one of three options: (1) EUR 40 Spendit card /month (2) Wellpass (3) Mobility card
Company pension scheme
Team, department, and company events
30 days of vacation
Up to six weeks of remote work in countries covered under the EHIC (European Health Insurance Card)

Who we are

At FERNRIDE, we believe in a future where robotics unlocks human potential to create a better world. Yet today, humans still perform repetitive, risky tasks to keep our world running. These jobs, essential yet unattractive, should be performed by robots, which still fall short. We are on a mission to change that and transform critical industries through human-centric automation.

FERNRIDE delivers a comprehensive ground autonomy platform to offer scalable automation solutions across industries. They span from container terminals and yard operations via defence logistics to open-road trucking. By combining AI-powered autonomy with human oversight and modular, vehicle-agnostic hardware, we enable businesses and defence organizations to harness the full potential of automation, driving efficiency and safety.

FERNRIDE was founded in 2019 following 10 years of research at the Technical University of Munich and currently has 50 employees. We are setting the standard for autonomous logistics and advancing Europe’s technological sovereignty by delivering the first-ever fully certified autonomous trucking system in Europe in 2025.

http://www.fernride.com

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Senior MLOps Engineer (ML Workflows Engineering)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

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ML Workflow Engineering Spain Amsterdam Belgrade Berlin Munich Prague Warsaw Limassol Germany Remote Paphos Yerevan Posted Apr 7, 2026

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
A solid understanding of the ML lifecycle from idea to the customer-facing application.
The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
Developing infrastructure components and services using cluster solutions like Kubernetes.
The development of Python-based backend services.
Creating and maintaining ML pipelines, including legacy ones.
Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with:

LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
Writing and maintaining Python libraries used by internal (or external) ML engineers.
A strong theoretical background in NLP and transformer-based approaches.
Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

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JetBrains

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Senior ML Engineer (JetBrains Research)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

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Applied Research Division Serbia Spain Amsterdam Berlin Munich Prague Warsaw Limassol Germany Remote Paphos Yerevan Posted Apr 3, 2026

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.

Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.

In this role, you will:

Design and prototype machine learning solutions to improve the software development workflow.
Apply existing open-source models or train custom ones as needed.
Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
Stay up to date with the latest advancements in applying machine learning to source code.
Collaborate with colleagues and provide mentorship when appropriate.

We’ll be happy to have you on our team if you:

Have experience designing machine learning systems from scratch.
Have a background in natural language processing or code modeling.
Have a proven track record of delivering machine learning projects.
Know how to design reproducible ML experiments.
Enjoy working on projects with high uncertainty.
Are proficient in Python, Java, or Kotlin.
Have hands-on experience with modern ML frameworks.

It would be nice if you:

Have experience applying machine learning to programming languages.
Have hands-on experience building and improving AI agents.
Have experience in A/B testing and general knowledge of statistics
Have worked with large-scale data processing pipelines

#LI-KP1

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

JetBrains

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Staff Research Engineer (LLM Pre-Training)

JetBrains · Amsterdam, Netherlands; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

JCP Core Machine Learning Spain Amsterdam London Berlin Munich Prague Warsaw Limassol Germany Remote Paphos Yerevan Posted Apr 3, 2026

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who:

Can plan projects and make decisions independently, consulting with others if needed.
Identify customer needs and prioritize their tasks accordingly.
Start with the simplest solutions and gradually add complexity as needed.
Take sole responsibility for an entire subsystem.
Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will:

Work with stakeholders to convert business requirements into technical specifications.
Train LLMs from scratch on a large GPU cluster.
Collect and process pre-training and fine-tuning datasets.
Support and improve existing subsystems.

We’ll be happy to have you on our team if you have:

Experience in design, deployment, and support of production ML systems.
A strong theoretical background in NLP and transformer-based approaches.
Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
Experience in distributed training of multi-billion parameter models.
Attention to detail in everything you do and great communication skills.

We’d be especially thrilled if you have experience with:

LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
LLM alignment techniques such as RLHF/RLAIF.
MLOps tools and practices, including CI/CD for ML.
K8s and Kubeflow.
Scientific publications in the NLP field.

How we develop JetBrains AI:

A cluster of hundreds of NVIDIA GPUs as training infrastructure.
Git for source control management.
Python, PyTorch, and HuggingFace as an ML stack.
Kubeflow and Weights & Biases for experiment tracking.
TeamCity as a CI Automation system.

#LI-KP1

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?

JetBrains

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Research Engineer (Agentic Models)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

JCP Core Machine Learning Armenia Cyprus Czech Republic Germany Netherlands Poland Serbia Spain United Kingdom Posted Apr 3, 2026

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.

We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.

You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.

As part of our team, you will:

Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features.

We’ll be happy to bring you on board if you have:

Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
Inference optimization and serving optimized models in production.

#LI-KP1

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Ready to apply?