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.

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.

Who we are

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.

Who we are

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.

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.

Who we are

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.

Who we are

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. 

Who we are

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

About the Job

We are looking for a Senior Talent Acquisition Manager (Business & Operations) (m/f/d) to join our team. In this role you'll lead and optimise our recruitment efforts, ensuring the acquisition of top-tier talent to drive our company’s growth and success. 

In your day-to-day work, you will design and implement strategic hiring initiatives, build robust talent pipelines, and collaborate with leadership across our non tech teams to align recruitment strategies with business goals. You will oversee the entire hiring lifecycle, ensuring a seamless candidate experience while promoting diversity, equity, and inclusion in all hiring practices. 

To join our team, you should be excited to:

• Partner closely with leadership to turn business goals into clear, actionable hiring priorities. 
• Build hiring strategies that scale with our growth and anticipate the emerging skill sets we’ll need next.
• Don’t wait for talent to come to you – go out there and build strong pipelines through proactive sourcing to find and engage exceptional engineers for hard‑to‑fill roles.
• Lead the end‑to‑end hiring journey, running every step from outreach to offer with care and impact.
• Stay laser‑focused, always raising the bar on the quality of talent.
• Champion an outstanding candidate experience from first touch to final offer.
• Amplify our employer brand in the deep tech space and craft a narrative that resonates with top talent.
• Use data to guide hiring decisions, challenge assumptions, track funnel health, and continuously improve how we hire. 
• Keep our hiring agile, inclusive, and compliant, while always raising the bar on quality. 

Your Profile

• Proven experience in talent acquisition (5+ years)
• Prior exposure in a Deep tech scaleup would be a big plus. 
• Expert at sourcing, market mapping and building talent pipelines for hard-to-fill roles
• Data-first mindset: you use metrics to guide decisions and influence stakeholders
• Obsessed with great candidate experience and recruitment innovation
• Excellent communication & stakeholder management skills
• Comfortable with ATS and modern recruiting tools
• Fluent in English; German is a plus
• You thrive in fast-growing, high-velocity environments 

Please note that this position is based in either Berlin or Munich. 

Benefits and Perks

• Competitive salary and benefits package
  
• A shaping role in an emerging dual use company
  
• Opportunity to work with a highly innovative, international, and dynamic team
  
• Room for professional growth and development
  
• Participation in the company's success, with access to regular events, knowledge exchange and meetups
  
  

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!

Join us as a SOTIF Expert (all genders) in our SOTIF team and help shape the future of autonomous mobility!

Join an international team working on one of the most exciting and demanding challenges in the automotive industry: bringing automated driving into series production. Together with colleagues from technical development and cross functional teams, you will contribute to the development of the ID. Buzz AD (Autonomous Driving).

A crucial phase in the development of highly automated vehicles is ensuring safety with respect to behavioral safety (SOTIF). The relevant standard ISO 21448 requires continuous advancement of processes and technologies. These must be implemented, assessed, and refined in close collaboration with technical development teams and external partners.

In this role, you will identify, implement, and evaluate SOTIF-relevant safety processes, methods and artifacts. You will also develop and assess new technologies and methodologies to analyze and validate the safety of automated driving software systems and their functional components

What you will do

• Identify and develop essential process steps, methods and tools incl. milestones to enable SOTIF release recommendation for automated driving systems.
• Define requirements necessary to achieve behavioral safety.
• Evaluate SOTIF artefacts in collaboration with system experts, software development teams, and test specialists.
• Develop a comprehensive V&V (Verification & Validation) strategy for SOTIF, and define and assess relevant test requirements, metrics, and strategies for system- and component-level testing.
• Execution of SOTIF test campaigns in the verification and validation phase.
• Assess and support the end-to-end SOTIF process leading to a SOTIF release recommendation.

What will help you to fulfill your role 

• Expertise in safety assurance and safety standards for autonomous systems (ISO 21448, ISO 26262, ISO 3450x, UL 4600, ISO 5083, …)
• Requirements engineering
• Creation and maintenance of scenario and triggering condition catalogues for testing
• Strong experience in V&V or test management for automated driving, robotics, or ADAS
• Software engineering, development, and testing
• Statistics, testing methodologies, and simulation environments
• Ability to communicate complex topics clearly and confidently to engineering teams, management, and safety stakeholders.
• Strong analytical skills, a structured mindset, and a high sense of quality.
• Fluent English skills, German skills are highly beneficial.

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!

20h/Woche | Standort: Berlin | Start: ab sofort

Project A ist ein führender europäischer Frühphaseninvestor mit einem verwalteten Vermögen von 1,2 Milliarden Euro. Wir unterstützen ambitionierte Tech-Gründer von der ersten Idee bis zur Skalierung und stellen Pre-Seed- und Seed-Kapital für Unternehmen bereit, die Europas Zukunft in Schlüsselbereichen wie Fintech, europäischer Resilienz, globaler Lieferketten und der Zukunft autonomer Arbeit gestalten. Zu unserem Portfolio gehören Branchenführer wie Trade Republic, Sennder, Zepz und Quantum Systems. Darüber hinaus arbeiten wir in unserem Studio gemeinsam mit Gründern daran, ihre Visionen zu schärfen und Ideen zu validieren, wodurch Unternehmen wie 11x, ARX Robotics und Enapi entstanden sind.

DIE POSITION

Du unterstützt unser Finance-Team im operativen Tagesgeschäft und bei der strategischen Weiterentwicklung unserer Prozesse. Dabei arbeitest du eng mit verschiedenen Teams und externen Partnern zusammen und übernimmst ab Tag eins Verantwortung in den Bereichen Compliance, Treasury und Datenmanagement innerhalb der VC-Welt.

Du bist motiviert, dich einzubringen, möchtest mit deiner Arbeit echten Mehrwert schaffen und suchst die Möglichkeit, von erfahrenen Experten zu lernen und dich beruflich weiterzuentwickeln.

Bitte beachte, dass du für diese Position an einer deutschen Hochschule eingeschrieben sein musst, die Stelle in Berlin angesiedelt ist und ab sofort für mindestens 12 Monate besetzt werden soll.

SEI VERANTWORTLICH FÜR:

• Compliance & KYC: Durchführung von KYC-Prüfungen sowie Pflege und Analyse von Stammdaten (Investoren & Portfoliounternehmen)
• Reporting: Vorbereitung von Berichten für Aufsichtsbehörden (Bundesbank, BaFin, FATCA/CRS) sowie Erstellung von internen Ad-hoc-Analysen
• Tech & Portfolio: Aktive Mitwirkung an der KI-gestützten Optimierung unserer Datensysteme und Einblicke in die Analyse unserer Portfolio-Unternehmen
• Schnittstellenarbeit: Enge Abstimmung mit Legal, Investor Relations und externen Partnern (Banken, Steuerberater)
• Treasury: Unterstützung im Liquiditätsmanagement und im nationalen/internationalen Zahlungsverkehr

DEIN PROFIL:

• Laufendes Studium mit Fokus Finance, Law oder BWL (idealerweise 1.–2. Semester für eine langfristige Zusammenarbeit)
• Erste Praxiserfahrung in Finance, Banking oder im rechtlichen Umfeld ist ein Plus
• Hohe Detailorientierung, Zuverlässigkeit und eine schnelle Auffassungsgabe für komplexe rechtliche Prozesse
• Sicherer Umgang mit MS Office sowie erste Erfahrung mit der Nutzung von KI-Tools zur Datenstrukturierung
• Fließende Deutsch- und Englischkenntnisse (mind. C1)

WIE WIR IN DEINEN ERFOLG INVESTIEREN:

• Gestalte die Zukunft: Unterstütze spannende Projekte innerhalb von Project A und erhalte Einblicke in die Welt des Venture Capital
• Arbeite mit Experten: Profitiere von einem Team aus hoch motivierten Kollegen, die diverse Erfahrung aus internationalen Unternehmen mitbringen und ihr Wissen mit dir teilen.
• Gib deiner Karriere einen Boost: Mit abwechslungsreichen Projekten und maßgeschneiderten Trainings statten wir dich mit allem aus, was du für deinen nächsten Karriereschritt brauchst
• Strebe nach Fortschritt: Hast du eine spannende Idee oder ein neues Tool im Blick? Lass es uns ausprobieren!
• Wachse durch Zusammenarbeit: Knüpfe wertvolle Kontakte bei regelmäßigen Events und tausche dich in dynamischen Netzwerken aus – für dein persönliches und unser gemeinsames Wachstum
• Übernimm Verantwortung: Wir ermutigen dich, deine Kreativität einzusetzen und schätzen dabei Autonomie bei der Umsetzung deiner Projekte

Our Commitment to Diversity and Inclusion

A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.

Über Capgemini Invent

Capgemini Invent ist die weltweite Beratungseinheit der Capgemini-Gruppe für digitale Innovation, Design und Transformation. Sie ermöglicht CxOs, die Zukunft ihrer Unternehmen zu gestalten. Dafür arbeiten über 13.500 Mitarbeiterinnen und Mitarbeiter in über 40 Kreativstudios sowie an mehr als 70 Standorten weltweit. Sie vereinen Strategieberatung, Data Science, Produkt- und Experience Design, Markenmanagement sowie Technologie-Know-how, um neue Digitallösungen, Produkte, Umgebungen als auch Geschäftsmodelle für eine nachhaltige Zukunft zu entwickeln.

Capgemini Invent ist integraler Bestandteil von Capgemini, einem globalen Partner für KI-gestützte Geschäfts- und Technologie-Transformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realität werden lässt. Seit fast 60 Jahren steht Capgemini für Verantwortung wie auch Vielfalt und beschäftigt über 420.000 Mitarbeitende in mehr als 50 Ländern. Das End-to-End-Leistungsspektrum gründet auf einer umfangreichen Branchenexpertise, einem starken Partner-Ökosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2025 einen weltweiten Umsatz von 22,5 Milliarden Euro.

Make it real | www.capgemini.com/de

Be part of our journey

• Innovative Projekte und internationale Teams sowie ein erfolgreiches Wachstum in digitalen Zukunftsthemen
• Die Aufgabe, Strategie- und Transformationsprojekte zu konzipieren und zum Erfolg zu führen
• Langjährig gelebte, auf Werte ausgerichtete Unternehmenskultur
• Transparente Karriereperspektiven und Weiterbildungsmöglichkeiten innerhalb eines weltweiten Expertennetzwerks
• Langfristig ausgerichtetes Work-Life-Balance-Modell

Get the future you want

• Erarbeitung und Implementierung von Finance Strategien und des Target Operating Models für den CFO-Bereich
• Unterstützung von cross-funktionalen Projektteams in einer führenden Management Beratung an der Schnittstelle zwischen Strategie, Business und IT
• Optimierung entlang der E2E-Prozesse z.B. Finance-to-Management
• Accounting & Closing Innovation –  Unterstützung bei der Umsetzung regulatorischer/ IFRS Vorgaben, Optimierung von Accounting- und Abschlussprozessen
• Regulatory Reporting Innovation (FS) – Umsetzung von Meldewesen-Vorgaben, Optimierung von neuen Meldewesen-Lösungen und Prozessen
• Inventive Controlling & Steering – Konzeption von Management-Reporting auf Basis aktueller Analytics-Lösungen, Design von globalen Steuerungskonzepten für unsere international agierenden Kunden, Entwicklung von integrierten und innovativen Planungs- und Forecasting-Konzepten
• Treasury - Konzeption und Implementierung moderner Treasury Management Lösungen
• Spannende Digitalisierungsprojekte im Rahmen von weltweiten Transformationen von Finanzarchitekturen (u.a. SAP S/4 HANA)
• Finance PMI – Begleitung von Post-Merger-Integrations und Zusammenschlüssen
• Kundenspezifische Analyse und Bewertung von neuen Technologien (a. künstliche Intelligenz, Robotics) und deren Auswirkungen auf den CFO-Bereich

Your skills & career

• Mehrjährige praktische Projekterfahrung rund um das Thema Finance
• Erste Verantwortung als (Teil-) Projektleitung für Transformationsprojekte
• Langjährige Erfahrungen in unseren Finance, Controlling und Treasury Fokusthemen
• Kenntnisse in gängigen Finanzapplikationen wie z.B. S/4HANA Finance, Reporting- Konsolidierungssystem oder Treasury Management Applikationen
• Einen herausragenden Studienabschluss (Bachelor / Master) mit wirtschaftlicher, technischer oder informationstechnologischer Ausrichtung
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Unternehmensberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Die ausgeschriebene Vakanz ist ganzjährig zu besetzen. 

Wir freuen uns über deine vollstän­dige Be­wer­bung ausschließlich über unser Bewerbungsportal unter Angabe deiner Ge­halts­vor­stel­lung, des frühest­mög­lichen Ein­tritts­zeit­punkts sowie deiner Standortpräferenz.

Hier findest du weitere Informationen zu unserem Bewerbungsprozess.

Wende dich bei Fragen bitte an sophie.virneburg@capgemini.com

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.

Deine Rolle

• Erarbeitung und Implementierung von Finance Strategien sowie des Target Operating Models für den CFO-Bereich
• Unterstützung von cross-funktionalen Projektteams in einer führenden Managementberatung an der Schnittstelle zwischen Strategie, Business und IT
• Optimierung entlang der E2E-Prozesse, z.B. Finance-to-Management
• Accounting & Closing Innovation – Unterstützung bei der Umsetzung regulatorischer/IFRS Vorgaben, Optimierung von Accounting- und Abschlussprozessen
• Regulatory Reporting Innovation – Umsetzung von Meldewesen-Vorgaben, Erarbeitung neuer Meldewesen-Lösungen und -Prozessen
• Inventive Controlling & Steering – Konzeption von Management-Reporting auf Basis aktueller Analytics-Lösungen, Design von globalen Steuerungskonzepten für unsere international agierenden Kunden, Entwicklung von integrierten und innovativen Planungs- und Forecasting-Konzepten
• Treasury-Konzeption und Implementierung moderner Treasury Management Lösungen
• Spannende Digitalisierungsprojekte im Rahmen von weltweiten Transformationen von Finanzarchitekturen
• Finance PMI – Begleitung von Post-Merger-Integrations und Zusammenschlüssen
• Kundenspezifische Analyse und Bewertung neuer Technologien (u.a. künstliche Intelligenz, Robotics) und deren Auswirkungen auf den CFO-Bereich

Dein Profil

• (Erste) Praktische Projekterfahrung rund um das Thema Finance
• Einen herausragenden Studienabschluss mit wirtschaftlicher, technischer oder informationstechnologischer Ausrichtung
• Idealerweise Kenntnisse über relevante Software im Bereich Finance, Data Management oder Business Intelligence
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Unternehmensberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Was du bei uns schätzen wirst

• Innovative Projekte und internationale Teams sowie ein erfolgreiches Wachstum in digitalen Zukunftsthemen
• Die Aufgabe, Strategie- und Transformationsprojekte zu konzipieren und zum Erfolg zu führen
• Langjährig gelebte, auf Werte ausgerichtete Unternehmenskultur
• Transparente Karriereperspektiven und Weiterbildungsmöglichkeiten innerhalb eines weltweiten Expertennetzwerks
• Langfristig ausgerichtetes Work-Life-Balance-Modell

Über Capgemini Invent

Capgemini Invent ist die weltweite Beratungseinheit der Capgemini-Gruppe für digitale Innovation, Design und Transformation. Sie ermöglicht CxOs, die Zukunft ihrer Unternehmen zu gestalten. Dafür arbeiten über 13.500 Mitarbeiterinnen und Mitarbeiter in über 40 Kreativstudios sowie an mehr als 70 Standorten weltweit. Sie vereinen Strategieberatung, Data Science, Produkt- und Experience Design, Markenmanagement sowie Technologie-Know-how, um neue Digitallösungen, Produkte, Umgebungen als auch Geschäftsmodelle für eine nachhaltige Zukunft zu entwickeln.

Capgemini Invent ist integraler Bestandteil von Capgemini, einem globalen Partner für KI-gestützte Geschäfts- und Technologie-Transformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realität werden lässt. Seit fast 60 Jahren steht Capgemini für Verantwortung wie auch Vielfalt und beschäftigt über 420.000 Mitarbeitende in mehr als 50 Ländern. Das End-to-End-Leistungsspektrum gründet auf einer umfangreichen Branchenexpertise, einem starken Partner-Ökosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2025 einen weltweiten Umsatz von 22,5 Milliarden Euro.

Make it real | www.capgemini.com/de

Wir freuen uns über deine vollstän­dige Be­wer­bung ausschließlich über unser Bewerbungsportal unter Angabe Ge­halts­vor­stel­lung, des frühest­mög­lichen Ein­tritts­zeit­punkts sowie deiner Standortpräferenz.

Die ausgeschriebene Vakanz ist ganzjährig zu besetzen.

Hier findest du weitere Informationen zu unserem Bewerbungsprozess.

Wende dich bei Fragen bitte an damian.mroz@capgemini.com. 

Why this role is exciting

As a (Principal) Senior C++ Engineer in the Remote Driving Platform team, you will work on the foundational software stack that powers Vay’s driverless fleet. This is the layer that everything else depends on: health management, telemetry, safety integrations, compute performance, and the core platform enabling safe operation on public roads without a safety driver.

You will operate at the intersection of software architecture, performance engineering, and hardware evaluation, shaping the compute backbone of our remote driving system. Your work directly impacts safety, scalability, and our ability to deploy and operate thousands of vehicles globally.

Owning the platform means owning reliability, performance, and developer velocity across the organization. The scope is deep, highly technical, and critical to Vay’s long term success.

We are open to hiring at either Senior or Principal level, depending on experience and scope of ownership.

What you'll be driving

You will design and evolve the common software platform components that other engineering teams build upon. Your work will ensure that our remote driving stack is performant, observable, and production ready at scale.

In order to do that, you will:

• Design, develop, test and maintain core C++ platform components used across Vay
• Build and improve system level tooling for health management, telemetry and incident handling
• Own performance profiling and optimization across vehicle and remote driving compute
• Contribute to the evaluation and selection of compute hardware for vehicles and remote driving stations
• Improve and extend hardware in the loop test setups to accelerate feedback cycles
• Support the production fleet in Berlin and Las Vegas on a scheduled basis
• Collaborate closely with autonomy, systems and fleet teams to ensure safe and scalable deployments

This might be a great fit, if

You are a senior IC who enjoys owning complex systems end to end, from low level performance tuning to production reliability, and you care deeply about building robust software that operates in the real world. 

•  Strong proficiency in C++17 and Linux based systems
•  Experience working with ROS (ROS1 and/or ROS2)
•  Deep understanding of system profiling, debugging and performance optimization
•  Experience building production grade distributed or embedded systems
•  Passion for improving developer productivity through automation and DevOps best practices
•  Strong communication skills with a high sense of ownership and urgency

Nice to Have

• Experience with hardware evaluation and compute platform selection 
• Experience working on robotics, autonomous systems, or safety critical software 
• Interest in leveraging modern AI assisted coding tools to improve engineering velocity

Why choose Vay

💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future - not just a salary

🌴 Unlimited Paid Vacation Days

🎫 Subsidised Deutschland ticket (Berlin)

🏋️‍♂️ Subsidised Urban Sports Club or FitX Membership 

🚗 All Vay team members receive 30% off their Vay rides

🛍️ Exclusive external discounts

💼 €350 Home Office Set-up 

✈️ Relocation financial assistance when relocating to Berlin 

📚 Fully funded German Lessons 

🎊 Regular team events throughout the year