About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

We are looking for a Technical Project Manager (TPM) to lead medium to high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle—from scoping and planning through go-live and hypercare—working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications.

Areas of ownership:

Project Ownership & Delivery

• Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality).
• Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit.
• Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile.
• Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams.
• Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log.

Customer & Stakeholder Management

• Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders.
• Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews.
• Translate technical complexity into clear business impacts for executive stakeholders.
• Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed. 

Cross-Functional & Pod Coordination

• Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability.
• Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning.
• Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations.
• Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths.

Methodology & Process Discipline

• Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects.
• Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs).
• Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan.

Metrics & Reporting

• Define and track deployment KPIs, such as:
• Time to Blueprint, Time to First Agent in UAT, Time to Go-Live
• Milestone On-Time Rate
• Defect and incident trends during QA/UAT and Hypercare
• Report delivery status, risk posture, and mitigation plans to internal and external stakeholders.
• Contribute data to capacity and utilization models to inform planning and staffing.

Who you are:

• 5–8+ years of experience in technical project management, program management, or delivery management for SaaS or enterprise software.
• Hands-on experience delivering solutions involving at least one of:
• Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms.
• Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners).
• Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each.
• Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro).
• Excellent communication, facilitation, and conflict resolution skills.
• Proven track record managing multiple concurrent projects with global, distributed teams.
• Fluency in English & German is required

NICE TO HAVE:

• Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions.
• Background in professional services or consulting working with enterprise clients.
• Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP).
• Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent.
• Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems).

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. 

About the role:

As Senior Data Engineer – Internal Platform, you will build and own the data infrastructure that powers Parloa's internal AI transformation. Today, business-critical data lives across dozens of disconnected tools with no unified way to access it — you'll change that by creating a single, self-serve access layer that gives AI agents and teams the business context they need to operate. Working closely with the AI Transformation Team and stakeholders across the non-engineering organization, you'll also define the KPIs and dashboards leadership uses to track AI adoption and impact.

Areas of ownership:

• Data Platform Infrastructure: Own the Internal-facing Databricks workspace end-to-end: configuration, compute, access controls, and cost management.
• Ingestion Pipelines: Build and maintain Airbyte pipelines that pull data from Salesforce, Gong, HRIS, finance systems, and other tools on automated schedules.
• Data Modeling & Transformation: Implement the architecture that turns raw data into clean, trusted, analysis-ready datasets.
• AI Data Enablement: Partner with the AI Transformation Team to ensure AI agents and LLM workflows get the right data in the right format.
• AI Adoption Measurement: Define and build the KPIs and dashboards that track AI usage, proficiency, and business impact across the company.
• Data Governance & Compliance: Own data classification, access policies, GDPR/DPA compliance, and pipeline monitoring.

Who you are:

• Experience designing data layers that power AI/LLM-based applications and agentic workflows.
• Proficiency in Python, SQL, ETL/ELT tools, and MLOps.
• Knowledge of dimensional modeling and modern data warehouse technologies.
• Ability to comprehend and execute on complex requirements and resolve performance issues.
• Ability to articulate complex technical concepts to non-engineering audiences, making data architecture decisions and trade-offs understandable for leadership and cross-functional stakeholders.
• Passion for staying updated and driving innovation in data engineering.
• Ability to define and instrument Al adoption KPls: usage tracking, proficiency distribution, and business impact metrics.
• Understanding of how Al tools consume data – context windows, retrieval patterns, embedding pipelines – and how to optimise data access for.

Our recruiting process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

We’re looking for passionate and product-minded Backend Engineers to join our Discovery team - the group behind some of the most visible and impactful parts of Wolt’s consumer app. You’ll work on features that help millions of users discover their next favorite restaurant, grocery store, or product- from the homepage and category views to new vertical experiences like groceries, electronics, pet food, and health & beauty.

This is more than just a backend engineering role. We’re looking for someone who combines strong technical skills with curiosity, ownership, and a deep interest in creating meaningful user experiences at scale.

AI-First Engineering in Discovery 

We're building teams at the forefront of agentic coding. This goes beyond autocomplete or occasional prompting. We’re looking for engineers who:

• Design workflows where AI agents handle entire task loops, from spec to PR.
• Think in terms of orchestration: what does a human review, what does the agent own?
• Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team.
• Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype.

If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in.

What you’ll do:

• Design, build, and operate high-performance backend services - primarily in Kotlin and Go (experience with Python is a plus) -  powering discovery surfaces, front pages, and category experiences across Wolt’s new and existing verticals.
• Own your services end-to-end: from requirements, design, and delivery to testing, CI/CD, deployment, monitoring, and on-call.
• Translate product and user needs into scalable, low-latency solutions and run experiments (A/B tests, feature flags) to continuously improve performance and impact.
• Collaborate closely with Product Leads, Frontend, Data, and Machine Learning teams to build features like search, ranking, personalization, and data-pipeline integrations.
• Drive reliability, observability, and efficiency - through automated testing, logging, tracing, alerting, incident response, and post-mortems.
• Continuously improve technical quality by reducing tech debt, proposing architectural improvements, and measuring their outcomes.

Why this role?

Join our Discovery team and shape how users experience Wolt from the moment they open the app.

• An AI-first team by design: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship.
• Real ownership, real impact: Discovery is one of the most critical parts of the product. You’ll own features end-to-end and see your work directly influence user behavior at scale.
• Cross-functional collaboration: You’ll work closely with product managers, designers (including motion), backend engineers, and data teams to build seamless user experiences.
• A small team with high leverage: We operate as a tight, cross-functional team where engineers have a strong voice, move fast, and take responsibility for what they ship.

What we’re looking for

• Solid engineering fundamentals: At least 1-2 years of experience building production backend services 
• Genuine enthusiasm for AI-first development: You use AI tools daily and have formed real opinions about how to get the most out of them.
• End-to-end ownership mindset: You take responsibility beyond implementation, from breaking down problems into technical tasks to ensuring features are tested, stable, and successfully shipped
• Ability to work independently and drive projects: You’re comfortable owning work end-to-end with minimal guidance, collaborating with designers to clarify requirements, creating tasks, and moving initiatives forward
• Product and execution thinking: You operate well in ambiguous environments and contribute not just to implementation, but to shaping what gets built and how
• Experience operating in production environments: You’ve debugged real issues in live backend services and understand what it takes to maintain reliability at scale
• Collaboration and communication: You communicate clearly and work effectively across teams, including in multi-team development environments

🌍 Where You’ll Work

You will be based in Helsinki, and be a part of a distributed, cross-functional team with engineers in Berlin and Helsinki. We operate in a remote-friendly environment designed to encourage collaboration and innovation.

Next steps

These positions will be filled as soon as we find the right persons, so make sure to apply as soon as you realize you really, really want to join us!

• Optimize I/O for emulated disk and network devices
• Integrate the hypervisor with other platform services and storage facilities for user data
• Efficiently distribute resources between virtual machines
• Improve guest system support
• Advance the cutting-edge of open source virtualization
• Provide low-level security for the hypervisor and emulator
• Provide general support, fix bugs, and monitor the upstream
• Collaborate with other team members and stakeholders

• 5+ years of professional software engineering experience
• Fluent in C programming language
• 3+years of experience with Linux
• At least 3 years of engineering experience with QEMU/KVM
• General understanding of x86-compatible systems (virtual memory, interrupts, privilege rings)
• Experience writing general system code in user mode for Linux, including debugging, analysis, and optimization tools (the emulator is built on the user mode system process for Linux)

• Aсcepted patches in Linux Kernel or QEMU/KVM
• Experience working with Linux kernel
• Some experience with ARMv8, including virtualization extensions
• Understanding of PCI, SCSI, and ACPI
• Experience working with the Linux kernel
• Excellent communication skills for cross-team collaboration
• Strong work ethic

We conduct coding interviews as part of the process.

• Optimize I/O for emulated disk and network devices
• Integrate the hypervisor with other platform services and storage facilities for user data
• Efficiently distribute resources between virtual machines
• Improve guest system support
• Advance the cutting-edge of open source virtualization
• Provide low-level security for the hypervisor and emulator
• Provide general support, fix bugs, and monitor the upstream
• Collaborate with other team members and stakeholders

• 5+ years of professional software engineering experience
• Fluent in C programming language
• 3+years of experience with Linux
• At least 3 years of engineering experience with QEMU/KVM
• General understanding of x86-compatible systems (virtual memory, interrupts, privilege rings)
• Experience writing general system code in user mode for Linux, including debugging, analysis, and optimization tools (the emulator is built on the user mode system process for Linux)

• Aсcepted patches in Linux Kernel or QEMU/KVM
• Experience working with Linux kernel
• Some experience with ARMv8, including virtualization extensions
• Understanding of PCI, SCSI, and ACPI
• Experience working with the Linux kernel
• Excellent communication skills for cross-team collaboration
• Strong work ethic

We conduct coding interviews as part of the process.

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 Ground to Air HMI enables air forces to operate autonomous systems in missions. 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 and frontend 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 eventual consistency)

• Human-autonomy teaming (e.g., HMIs for effective human oversight and control)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Real-time interfaces (e.g., tactical situation display and streaming sensor feeds)

• 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, Python, and TypeScript, with Python mainly living in the ML-heavy sections, TypeScript being used in our UIs, and Rust being used in backends, onboard, and embedded software.

• 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

• 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).

• Are familiar with backend interface tools like REST APIs, webRTC, 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

• Development experience with a language like Rust, Java, Go, or C++.

• State-of-the-art experience with frameworks like React.

• Experience in designing long-lived protocols and data schemas for system integration.

• Enjoy designing data-heavy UIs and have strong prototyping skills.

• Experience building aviation software according to DALs and standards like DO-278.

• Knowledge about NATO UCS standards like STANAG 4586/AEP-84.

• Knowledge about Metrics tooling (e.g., Prometheus, Grafana, ELK).

• Experience with 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 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.

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.

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.

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

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.

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.

About The Role:

We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.  

Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.  

What You Will Be Doing:

As part of the Data Platform organization, you will: 

• Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers  

• Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks 

• Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets. 

• Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc) 

• Mentor and guide team members to elevate engineering rigor and technical capability 

What You Bring: 

• Experience working with a tech stack similar to: 

• Programming languages like Python or Kotlin. 

• Databases like Postgres, BigQuery, Spark, Graph DB 

• Tools like: Kubernetes, Docker, Terraform, Dagster, DBT 

• Cloud Storage Platforms  

• You have strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects 

• You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling 

• You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics 

Optional Experience: 

• Some knowledge about semantic web technologies like RDF and OWL 

• Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege 

• Experience working with construction industry data and / or complex and large datasets 

• Data Science, Machine Learning and AI agents  

What we offer:

• Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. 
• It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them.
• Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery.
• Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.
• Be an owner: Participate in the success of GROPYUS through stock options.

Who we are

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.

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. 

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

Who we are

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. 

About us:

• We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
• We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
• We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
• We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities

Benefits:

• Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
• Robust 401k program
• Employee Equity Plan
• Generous professional development allowance
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
• Various snacks, goodies, and 2 free lunches weekly when at the office

Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

About us:

• We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
• We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
• We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard.
• We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities

Benefits:

• Not located in Berlin? No worries, we offer extensive relocation support including allowances, one way flights, temporary accommodation and, by partnering with Expath, on the ground support on arrival
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Employee Equity Plan
• Generous professional development allowance
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• We offer free German courses at beginning, intermediate and advanced
• Various snacks, goodies, and 2 free lunches weekly when at the office

Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

Why Scout24? 
Scout24 is home of ImmoScout24, Germany’s #1 for real estate. With ImmoScout24 we have been revolutionizing the real estate market in Germany and Austria for more than 25 years. Our goal is to build a digital ecosystem that brings homeowners, seekers, and agents together. Finding the right home and property is one of the most important decisions in life. So is your career! #WorkingatScout24 means being part of a diverse and inclusive team of around 1100 colleagues and 58 nationalities. We embrace difference and celebrate individuality. By encouraging open mindedness and authenticity we enable a true learning culture and prepare the ground for personal development.  Mistakes are a chance to grow and to innovate. Together we act proactively, strive for improvement, and take responsibility. We talk about success and challenge while treating each other with respect because we are #oneteam. 

If this sounds interesting to you, we would love to see you joining us!  Even if you may not tick all the boxes of the job requirements, we are happy to hear about the value you can add to the team.  Grow with us!. Welcome home!  

Aside from our people and company culture we are offering awesome benefits that make Scout24 a great place to work!  

• Compensation: A competitive salary package and a bonus on top.  
• Flexibility: We offer a hybrid work model with three days of on-site work per week in the office, and you can organize the remaining days as you wish. We offer you 30 days of vacation per year.
• Work from abroad: We offer you the possibility to work from abroad for 10 days per year, subject to the business requirements of the company and team.
• Relocation: Our relocation agency supports you with your visa process and an attractive relocation package.  
• Use our products: As an employee you can take advantage of our plus membership for tenants on ImmoScout24 to find a new place to live.  
• Development: Dedicated learning time per month, online courses on our ScoutAcademy, regular book challenges, structured feedback, “Lunch & Learn”-Events and individual career paths to push your career to the next level.    
• Have kids? We'll support you with a professional family service, which helps you to find a childcare center or offers emergency childcare.    
• Furry feel good manager: Bring your dog to work (upon approval, as we prioritise the well-being of our employees and ensure that our dog policy is considerate of allergic individuals and prevents overcrowding on each office floor). 
• Mobility: We subsidize public transport or Job Bikes. 
• Commitment to sustainability and Diversity, Equity & Inclusion (DEI): We have clear environmental and climate protection goals and are involved in social activities and charitable organizations throughout the year. We live the diversity. Our theme weeks on diversity, mental well-being, and other social issues give us time and space to develop ourselves on DEI and sustainability.
• Pension scheme: We offer a company pension scheme and support your own contribution with an attractive subsidy.
• Most innovative office: Our office is barrier-free and in the heart of Berlin right at the central station. It was awarded for the most innovative office concept. We have an own gym with regular courses, napping room, rooftop terrace, organic coffee, cafeteria, 100% green electricity and a massage therapist that comes in once a week.
• Health: Life Situation Coaching, regular health check ups
• We are a tech company: We work with the latest technical tools and hardware.  

Build and operate scalable ML and LLM-based systems in production, with a focus on self-hosted models, evaluation frameworks, and platform reliability. You will help shape Scout24’s AI platform by enabling teams to efficiently develop, deploy, and scale both traditional ML and generative AI solutions for multi-modal use cases.

Working at the intersection of software engineering, ML platform engineering, and product, you ensure ML/LLM applications are robust, observable, and cost-efficient. You establish best practices for LLMOps, including gateway services, MCP integrations, evaluation, and lifecycle management, while leveraging AI-native workflows to drive faster development and higher engineering productivity.

How your role will look like:

• Design and maintain scalable ML/LLM infrastructure and pipelines  
• Productionize traditional ML and generative AI solutions with cross-functional product teams  
• Own the ML/LLMOps lifecycle: prompting, deployment, monitoring, evaluation and optimization  
• Build and evolve an LLM Gateway service to standardize access, routing, and governance  
• Develop evaluation frameworks to measure quality, performance, and reliability of LLM outputs  
• Design and implement MCP-compatible services to enable standardized context exchange between LLMs, tools, and data sources  
• Integrate MCP into internal platforms to support tool use, retrieval, and agent-based workflows across teams 
• Work with AWS and integrate self-hosted open-source AI models for scalable, secure applications  
• Ensure observability, cost efficiency, and system performance 
• Contribute to project management, stakeholder communication and cross-team collaboration 

What you need to succeed:

• Strong experience in MLOps (CI/CD, Docker, Kubernetes) and operating production-grade systems
• Proficiency in Python and solid software engineering and scalable system design skills
• Hands-on experience with LLMs and generative AI technologies (e.g. GPT, Gemini or Anthropic-like models) 
• Expertise in prompt engineering, agent orchestration, context management, and output validation
• Experience with LLM evaluation frameworks and deploying self-hosted LLMs
• Familiarity with cloud platforms (e.g. AWS, GCP) as well as DevOps, testing, and observability practices
• Strong communication skills and ability to collaborate with cross-functional teams and stakeholders

We aim to further enhance the diversity of our company and support the professional development of people with disabilities. We have a disability representative who will assist you throughout the application process. If you require this support, please let us know in advance.

Meet Urban Sports Club

We are among the leading platforms for sports and wellness in Europe, dedicated to inspiring people to live active, healthy lives. With just one membership we offer access to thousands of fitness and wellness experiences across the continent.

But what truly sets us apart? We believe our people are at the heart of everything we do. If you’re curious about how we work, what we value and how you might grow with us, explore our Culture Hub & Career Opportunities.

*Big news: Wellhub and Urban Sports Club unite!*
Urban Sports Club is now a proud part of Wellhub, creating a global wellbeing ecosystem. Together, we connect 39,000 corporate clients and 97,000 wellness partners across 18 countries, offering millions of people even more ways to stay active and take care of their health.

The opportunity 

Urban Sports Club is building a security function that moves with heart and mind. As a Security Engineer you will work across the full security landscape – from application security to cloud runtime to development pipelines and of course AI – bringing genuine breadth alongside real depth in your domain specialisations. 

You will work side-by-side with IT analysts, developers, product managers, and leadership alike to embed security into how we build and operate. You will report to the Director of Cyber Security, with the empowerment and autonomy to shape how security is done across the company.

This role suits those with a builder’s mindset who gets restless without a hard problem to solve, who is excited about the intersection of AI and security, and who communicates as comfortably in a board update as in a pull request review.

What you will do

• You partner with engineering, product, and infrastructure teams to identify and mitigate security risks across our cloud, application, and AI/ML environments
• You lead security initiatives in your specialist area – whether that is AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security – while staying curious and contributing across different domains
• You design, build, and operate security controls, automation, and tooling that scale with a fast-growing platform
• You drive threat modelling, secure design reviews, and risk assessments for new features, services, and infrastructure changes
• You detect, respond to, and investigate security incidents; own root cause analysis and drive post-incident improvements
• You translate complex security topics into clear, actionable language for technical and non-technical audiences, including C-level leadership
• You track the evolving threat landscape, with particular attention to AI/ML attack surfaces and AI-assisted security tooling, bringing those insights back into the business

What you will need to succeed

• You bring 5+ years of hands-on security engineering (or equivalent) in fast-paced, high-growth environments
• You have a deep expertise in at least one domain: AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security
• You bring a strong builder mindset: able to script, automate, write detections, and review architectures/designs
• You understand modern threats (e.g., AI/ML risks, software supply chain, API and cloud security)
• You are are an excellent communicator across technical and executive audiences (e.g., engineers to CISO level)
• You are able to work autonomously, set direction, and thrive in ambiguous, collaborative environments
• Nice to have: Experience with platform/marketplace products, Kubernetes security in AWS/GCP, EU regulations (GDPR, NIS2, DORA), and scripting (Python, Go)

What’s in it for you 

• Free Urban Sports Club L Pro Membership + Friends and Family Discount: Stay active with free membership, plus discounts for friends and family.
• Flexible Work Model: Enjoy a hybrid work setup, balancing on-site and remote work options to fit your lifestyle.
• Extended Remote Work Options: Work up to 120 days remotely within the EU, the UK, and Switzerland, including 30 days outside the EU. You’ll also have the option to desk-swap at our other European offices.
• WorkOUT Life Balance: Take advantage of 30 days of paid vacation annually, plus two additional days for volunteering, flexible working hours, and complimentary access to our mental health provider Open Up.
• Personal Development: Receive an annual budget of €1,000 for professional growth, with regular internal training sessions and weekly German and English language classes.
• Engaging Team Culture: Participate in regular team and company events along with wellness initiatives that help you stay productive, healthy, and engaged in a hybrid work environment.

Urban Sports Club is committed to providing a friendly, safe, and welcoming environment for everyone who applies for a position or already works with us, regardless of their sports preferences, gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).

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 

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!

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

ABOUT THE TEAM:

As the Head of Data, you will be the visionary leader responsible for defining and executing our company data strategy. You will lead our data team to build a world-class data platform that bridges the gap between technical engineering and business value.

Your focus will be on evolving our data function into a strategic powerhouse to stakeholders from across the whole organization. You will own and drive the roadmap that aligns our data engineering capabilities with measurable business impact, ensuring our data infrastructure not only scales with our global client base but also becomes a key differentiator in how we make decisions, demonstrate product value and power future innovations.

We seek a strategic leader with demonstrated experience in a B2B SaaS environment. The ideal candidate must be capable of developing a clear strategy, securing alignment with key stakeholders including the CTO, VP of Product and VP of Customer Success, and executing with a high degree of autonomy.

For this position, we need professionals who are already based in Berlin or willing to move to Berlin.

ONCE YOU ARE HERE YOU WILL:

• Own the data roadmap, transitioning the team from a hands-on setup phase to a scalable, strategic function that supports the entire organization.
• Directly manage, mentor, and grow a cross-functional team of 4 individuals consisting of a Data Engineer, an Analytics Engineer, and Analysts, focusing on maximizing team efficiency, fostering greater ownership, and promoting the capabilities and professional fulfillment of your direct reports.
• Partner with the Post-Sales team to make QBRs reliable, self-service and automated, ensuring we can clearly demonstrate the value of our product through insights for our global clients such as H&M, Sephora and Adidas.
• Oversee the transition toward a unified data platform that integrates Product Analytics, Business Decision Making and Machine Learning workloads.
• Set the standards for data governance, reliability, and resilience across our modern data stack (with tools including BigQuery, DBT and Kafka).
• Act as the key bridge between R&D and business stakeholders, ensuring data is a first-class citizen in all decision-making.

WHAT WE NEED YOU TO BRING TO THE TABLE:

• 7-10 years of leadership experience managing data teams, ideally having managed through a "scale-up" phase in at least two different companies.
• The ability to utilize and transform hands-on experience into focus on project management, team health, and high-level architectural planning.
• A deep understanding of B2B-the SaaS business models and experience working with cross-functional business stakeholders.
• While this is not a hands-on role, a strong grasp of data lakes, streaming architectures and modern DWH concepts are must have.
• Strong ability to translate complex data infrastructure challenges into business impact for non-technical leadership

OUR TECH STACK:

• Data Warehouse: Google BigQuery
• Transformation & BI: DBT, Looker
• Ingestion & Pipelines: Kafka, PostgreSQL, Strimzi, Fivetran and more
• Infrastructure: GCP, Kubernetes, Docker

• 90+ team of engineers, product managers and product designers in Berlin
• Leaders with 8+ years of experience building our promotions engine
• €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
• 30 days of annual leave, plus extra paid days for your birthday and moving day
• Home office setup budget, a monthly home office allowance
• Freedom to work from abroad for up to 90 days worldwide!
• Mental health support with nilo.health and a discounted Urban Sports Club membership
• 20% company subsidy on your pension contributions
• Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome
• Lease your ideal bike through BusinessBike

ABOUT THE TEAM:

As the Head of Data, you will be the visionary leader responsible for defining and executing our company data strategy. You will lead our data team to build a world-class data platform that bridges the gap between technical engineering and business value.

Your focus will be on evolving our data function into a strategic powerhouse to stakeholders from across the whole organization. You will own and drive the roadmap that aligns our data engineering capabilities with measurable business impact, ensuring our data infrastructure not only scales with our global client base but also becomes a key differentiator in how we make decisions, demonstrate product value and power future innovations.

We seek a strategic leader with demonstrated experience in a B2B SaaS environment. The ideal candidate must be capable of developing a clear strategy, securing alignment with key stakeholders including the CTO, VP of Product and VP of Customer Success, and executing with a high degree of autonomy.

For this position, we need professionals who are already based in Berlin or willing to move to Berlin.

ONCE YOU ARE HERE YOU WILL:

• Own the data roadmap, transitioning the team from a hands-on setup phase to a scalable, strategic function that supports the entire organization.
• Directly manage, mentor, and grow a cross-functional team of 4 individuals consisting of a Data Engineer, an Analytics Engineer, and Analysts, focusing on maximizing team efficiency, fostering greater ownership, and promoting the capabilities and professional fulfillment of your direct reports.
• Partner with the Post-Sales team to make QBRs reliable, self-service and automated, ensuring we can clearly demonstrate the value of our product through insights for our global clients such as H&M, Sephora and Adidas.
• Oversee the transition toward a unified data platform that integrates Product Analytics, Business Decision Making and Machine Learning workloads.
• Set the standards for data governance, reliability, and resilience across our modern data stack (with tools including BigQuery, DBT and Kafka).
• Act as the key bridge between R&D and business stakeholders, ensuring data is a first-class citizen in all decision-making.

WHAT WE NEED YOU TO BRING TO THE TABLE:

• 7-10 years of leadership experience managing data teams, ideally having managed through a "scale-up" phase in at least two different companies.
• The ability to utilize and transform hands-on experience into focus on project management, team health, and high-level architectural planning.
• A deep understanding of B2B-the SaaS business models and experience working with cross-functional business stakeholders.
• While this is not a hands-on role, a strong grasp of data lakes, streaming architectures and modern DWH concepts are must have.
• Strong ability to translate complex data infrastructure challenges into business impact for non-technical leadership

OUR TECH STACK:

• Data Warehouse: Google BigQuery
• Transformation & BI: DBT, Looker
• Ingestion & Pipelines: Kafka, PostgreSQL, Strimzi, Fivetran and more
• Infrastructure: GCP, Kubernetes, Docker

• 90+ team of engineers, product managers and product designers in Berlin
• Leaders with 8+ years of experience building our promotions engine
• €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
• 30 days of annual leave, plus extra paid days for your birthday and moving day
• Home office setup budget, a monthly home office allowance
• Freedom to work from abroad for up to 90 days worldwide!
• Mental health support with nilo.health and a discounted Urban Sports Club membership
• 20% company subsidy on your pension contributions
• Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome
• Lease your ideal bike through BusinessBike

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

• Serverless AI has clear product-market fit with measurable activation and retention metrics improving quarter over quarter.
• Multi-node jobs and autoscaling endpoints are shipped and adopted by customers running production workloads.
• Cold start time is reduced from 1-3 minutes to under 60 seconds for common workloads through a combination of product and infrastructure improvements you drove.
• Developer experience (CLI, docs, error messages, onboarding flow) sets the standard that developers expect from a next-generation AI cloud.
• At least 3 product decisions you made are directly attributable to customer conversations or data analysis you conducted.

• Co-own the Serverless AI product roadmap — Jobs, Endpoints, and DevPods — taking primary ownership of specific product areas while collaborating closely with the other PM on shared priorities and cross-cutting decisions.
• Write detailed, technically precise PRDs that engineering teams can execute against. Our PRDs specify CLI syntax, API contracts, state machines, and billing models — not abstract feature descriptions.
• Make build/buy/defer decisions on capabilities like autoscaling, multi-node orchestration, HTTPS termination, secret injection, and health checking based on customer signal and strategic priorities.

• Understand the full workload lifecycle: container image pull → VM provisioning → GPU attachment → workload execution → cleanup — well enough to identify bottlenecks and propose solutions.
• Evaluate technical trade-offs in areas like container cold start optimization (image caching, snapshot restore, warm pools), GPU scheduling and bin-packing, and storage mount performance.
• Work directly with engineers on architecture decisions for distributed training support, endpoint autoscaling policies, and fault tolerance mechanisms.
• Stay current on the fast-moving serverless GPU infrastructure space — new inference frameworks (vLLM, TensorRT-LLM, SGLang), container runtimes, orchestration approaches — and translate trends into product direction.

• Run customer discovery and feedback sessions with ML engineers and platform teams at AI startups and enterprises. Turn qualitative insight into specific product actions.
• Analyze usage data, activation funnels, and churn patterns to identify where users get stuck and what features drive retention.
• Track market dynamics, emerging technologies, and industry trends to inform product strategy and ensure Nebius stays ahead of where the market is heading.
• Define and iterate on pricing, packaging, and tier strategy for Serverless AI.

• Own the technical content strategy: quickstart guides, tutorials, reference architectures, and example workloads that reduce time-to-first-job.
• Partner with marketing on developer-focused campaigns, webinars, and conference presence.
• Work with Solution Architects and Sales to qualify serverless-fit opportunities and support technical evaluations.

• You have built, shipped, and iterated on infrastructure or platform products used by developers or ML engineers. Not consumer apps. Not dashboards. Infrastructure.
• You understand containers at a practical level — Docker, image registries, container runtimes, resource limits, networking. You've debugged why a container won't start, why GPU isn't visible inside it, or why a mount isn't working.
• You have working knowledge of GPU computing for AI/ML: what GPU types exist and when to use them, how training and inference workloads differ in resource requirements, what vLLM / TensorRT-LLM / Triton are and why they matter.
• You can read a CLI reference and know if it's well-designed. You've shaped developer-facing APIs, CLIs, or SDKs.
• You have run real customer discovery — not surveys, but technical conversations with engineers where you learned something that changed your product direction.
• You have 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tools.

• Ability to whiteboard a workload lifecycle (submit → schedule → provision → execute → cleanup) and identify failure modes at each step.
• Understanding of autoscaling trade-offs: scale-to-zero vs. warm pools, scaling metrics (queue depth, latency, utilization), cold start implications.
• Familiarity with inference serving concepts: batching, model loading, quantization, KV-cache management, multi-model serving.
• Understanding of distributed training concepts: data parallelism, model parallelism, communication overhead, checkpointing.
• Ability to reason about pricing models: per-second vs. per-request vs. per-token, and how pricing interacts with product architecture.

• Experience at a serverless or GPU cloud company.
• Hands-on ML engineering background — you've trained models, deployed inference endpoints, or built ML pipelines yourself.
• Experience with Kubernetes for ML workloads (Kubeflow, KServe, Ray Serve) and understanding of why many ML teams want to avoid it.
• Prior experience building a product from early stage to scale in a fast-growing market.
• Background in systems engineering, distributed systems, or site reliability engineering.

• You are more comfortable in a terminal than in a slide deck.
• You form strong opinions based on data and direct customer signal, and you update them when evidence changes.
• You are energized by building at pace — small team, fast-evolving product, big opportunity.
• You care about developer experience at the level of error messages, CLI flag naming, and documentation quality.
• You'd rather ship a smaller thing that works perfectly than a bigger thing that's mediocre.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

The role

We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You’re welcome to work from our office in Prague or in Amsterdam, hybrid or remotely. 

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have:

• 5+ years of professional software engineering experience
• Excellent knowledge of Golang or you are ready to quickly switch to this programming language
• Ability to write reliable code and dig into complex problems
• Teamwork-oriented approach

It would be an added bonus if you had:

• Experience designing high-load and scaling services

We conduct coding interviews as part of the process.

The role

We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You're welcome to work from our offices in Prague, Amsterdam, or Berlin— hybrid or remotely.

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have:

• 5+ years of professional software engineering experience
• Excellent knowledge of Golang or you are ready to quickly switch to this programming language
• Ability to write reliable code and dig into complex problems
• Teamwork-oriented approach

It would be an added bonus if you had:

• Experience designing high-load and scaling services

We conduct coding interviews as part of the process.

The role

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

We are looking for a Senior Network Engineer to join our team to ensure smooth and stable operation of data center infrastructure, points of presence, and our own backbone network. The engineer will also design and develop data center networks with thousands of server ports, InfiniBand-based GPU cluster interconnect networks, and automation and management tools for such networks.

You’re welcome to work in our office in Amsterdam.

Your responsibilities will include:

• Provide technical design, operations, duties and assistance to related cross-functional teams, including the internal R&D team, HWaaS, and all-around cloud overlay & underlay network environments.
• Develop monitoring and automation tools.
• Contribute to the launch of new regions within our cloud and GPU platforms.

We expect you to have:

• Expert-level (jncie/ccie) expertise in MPLS, routing and switching Service Provider and DataCenter networks, Ethernet switching/vxlan, routing (BGP/isis), SR mpls+v6, traffic balancing/ECMP, l3 mpls VPN, and cloud overlay network technologies.
• Experience in developing and documenting a network design.
• Experience in developing plans for testing network infrastructure and vendors.
• Experience diagnosing problems with the TCP/IPv4/v6 protocol stack in a CLOS topology data center network.
• Knowledge of the design and internal architecture of modern network equipment, QoS mechanisms, and operations.
• Experience working with Juniper, Arista, Huawei, and Mellanox switches and routers.
• Working proficiency in English.

It would be an added bonus if you had:

• Working proficiency in any other European language
• Working knowledge of public clouds and GPU+infiniband networking
• Knowledge of software-defined networking overlays for the cloud environment
• Knowledge of Python, Go, or other popular programming languages in the Linux environment.
• Experience using these programming languages for task automation.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

• Ensure reliability, availability and performance of compute nodes running VMs
• Analyze and debug Linux systems across user space and kernel space, understanding capabilities, limitations and trade-offs at each layer
• Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups and scheduling
• Work hands-on with virtualization and containerization, primarily using QEMU/KVM and Linux-native technologies
• Design and evolve observability as a core capability of the node layer: metrics, logs, traces, alerts, SLIs and SLOs
• Lead incident response, root-cause analysis, and postmortems, driving long-term reliability improvements
• Collaborate closely with platform, kernel/hypervisor, GPU and infrastructure teams to improve system design and operability

• Experience with Kubernetes internals or node-level components
• Hands-on experience with low-level Linux debugging tools (e.g. perf, eBPF, ftrace, strace, kernel crash dumps)
• Familiarity with large-scale compute or bare-metal platforms
• Contributions to open-source infrastructure or system software
• Experience debugging hardware and driver-level issues, including GPUs, NVLink, InfiniBand

The role

At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.

Your responsibilities will include: 

• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.  

We expect you to have: 

• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.

It will be an added bonus if you have: 

• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster and 10x better. Cresta is focused on using AI to help the workforce, not replace them. Cresta uses our patented Expertise AI to uncover expert insights from every conversation and put those insights into action with real-time coaching during customer conversations. We’re growing fast! Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Adobe, and Dropbox and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few. We have huge ambitions and are looking for stellar candidates who have an entrepreneurial mindset and are excited to use cutting-edge AI to solve real-world business problems.

Cresta is seeking a passionate individual with solid security engineering experience to support the security & compliance team and enable growing global data protection and cybersecurity efforts.

What you'll do:

• Implement and collaborate on product security features
• Mature and extend our DevSecOps pipeline.
• Detect, defend, and respond to threats to Cresta and its customers
• Support SOC 2 Type II, ISO 27001 & 27701, PCI-DSS, TISAX and HIPAA audit processes with technical controls and evidence

• Perform security audits of Cresta’s products and cloud infrastructure and drive remediation of security risks
• Improve and monitor Cresta’s vulnerability management program to ensure we’re monitoring and mitigating known vulnerabilities
• Develop internal tooling and automation.

What we look for:

• Ambitious, passionate and results-oriented, with excellent interpersonal and communication skills
• 4+ years of experience in application security engineering and cloud security (AWS/GCP)
• Security domain knowledge across many cyber security disciplines
• Experience in static code analysis and remediation
• Experience in security operations (SOC) and incident response

• Working knowledge of Python and Go to develop and collaborate with engineering on product security features
• Experience managing competing efforts and requirements
• Experience with fast-growing SaaS start-ups

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

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

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

About the Role:

Vercel's sales team is filled with hardworking, deeply technical people spanning a range of business functions (developers, operations, marketing, product, IT) to help create a new category. We are a fast-growing organization with a strong preference to grow team members and promote from within! You will be the dominant driver of revenue growth and be on the front- lines of evangelizing our platform to both new and existing customers.

If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.

What You Will Do:

• Build and execute multi-year account plans across a curated set of named Major Accounts in DACH, with cloud, SI, and agency partners embedded in the strategy from day one
• Develop and activate partner relationships to source pipeline, co-sell into accounts, and accelerate deal cycles
• Drive net-new revenue through outbound ownership, deep discovery, executive alignment, and multi-threaded deal execution spanning engineering, product, procurement, legal, and the C-suite
• Translate Vercel's platform into board-level narratives around developer productivity, infrastructure consolidation, and AI transformation as operational levers
• Own complex commercial negotiations and position Vercel as a long-term strategic infrastructure partner embedded in your accounts' roadmaps for web and AI transformation

About You:

• 5-10+ years enterprise SaaS, with a track record of closing six and seven-figure deals in major or strategic accounts
• Experienced working a partner-influenced or co-sell motion — you know how to activate a hyperscaler or SI/ISV relationship to open doors and accelerate deals, not just list them as references
• Fluent in German and English; equally comfortable with a CTO on architecture and a CFO on TCO
• A disciplined account planner who thinks in years, builds executive relationships from scratch, and sequences complex accounts to maximise long-term revenue
• Fluent in MEDDPICC
• Genuinely able to articulate AI and modern web technology - enough to lead credible conversations with senior engineering and product leadership without leaning on a solutions engineer initially
• A value seller who leads with business outcomes, not feature lists
• A disciplined forecaster and curator of tight systems hygiene

Bonus If You:

• Have a background in web development, developer tooling, web infrastructure, cloud, or AI/ML platforms
• Come equipped with existing relationships with AWS, or other major SI/ISV players active in DACH
• Have experience navigating ELAs, global framework agreements, or regulated industry procurement in the DACH market

Benefits:

• Great compensation package and stock options.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays.
• Remote Friendly - Work with teammates from different time zones across the globe.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity? 

At Intercom, you will be a product engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts.

We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few. 

What will I be doing? 

As an experienced engineer you will:

• Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day.
• Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Intercom’s backend infrastructure
• Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday.
• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.
• Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team.

What skills do I need? 

• 4+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team.
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
• Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams
• Experience with Distributed systems

What happens when I apply? 

First, apply so we can review your CV. As the next step, we will send you our take-home test to work on in your own time. You can find more details on the questions and how we evaluate answers here. The following step will be a phone interview with one of our engineers which will focus on technical and culture contribution questions (this step is sometimes broken down into 2 interviews). The final step is a virtual onsite interview. 

Benefits 

LLM Platform Engineer/Lead (m/f/d)

Berlin, Bangalore, Remote

Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a LLM Platform Engineer/Lead who will be part of our Engineering team. 🙌 But wait, you have not heard of Kayzen before? 😃

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The Team

The Platform Engineering team owns Real-time bidding (RTB) platform, a Real-time budget system, Real-time event processing, Stream data processing engine and multiple other complex large-scale distributed components and data pipelines. We work closely with data scientists, data analysts, product and business teams. We are responsible for some of the most technically challenging work, for example:

• Handling ~2 Million Req/sec in sub-millisecond latency
• Handing & managing ~Petabytes of data
• Managing distributed systems deployed across multiple data centers
• Optimizing JVM and Linux kernel for optimal performance
• Managing our own data center spread across the globe consisting of thousand of powerful servers
• Working on some of the most challenging problems of Ad-Tech

Sounds interesting. Isn't it?

About the Role

We are looking for an  LLM Platform Engineer  /Lead who can  evangelise AI across the company  and build the  foundational tooling, frameworks, and workflows  that allow teams to ship AI-powered features quickly and safely. This role is ideal for an engineer who understands modern AI capabilities and focuses on  developer velocity, reuse, and production readiness  rather than training complex models from scratch.

Responsibilities

• Design and build  internal AI frameworks, SDKs, and shared libraries 
• Enable teams to integrate AI features with minimal friction
• Set up  standardized patterns  for using LLMs, embeddings, agents, and workflows
• Build reusable components for  prompt management, evaluation, observability, and safety 
• Define best practices for  AI usage, cost control, and reliability 
• Evangelise AI internally through documentation, examples, and hands-on guidance
• Rapidly prototype AI-powered features and turn them into reusable building blocks
• Own AI tooling from experimentation to production

Requirements

AI Tooling & Framework Experience (Core Focus) 

• Hands-on experience with  LLM APIs  (OpenAI, Anthropic, etc.)
• Experience with  RAG pipelines, embeddings, vector databases 
• Familiarity with  prompt engineering, prompt versioning, and evaluation 
• Experience with  AI orchestration frameworks 
• Understanding of  AI observability, cost monitoring, and failure modes
• You’ve shipped at least one LLM-powered feature to production and iterated based on telemetry or user feedback.
• Comfortable with embeddings, fine-tuning, vector search, tokenization, and evaluation methodologies.
• Familiar with data lakes/warehouses, feature stores, and streaming/batch ETL; cloud (AWS/GCP/Azure).

Strong Engineering & Platform Skills 

• Excellent  Python  skills (required)
• Experience building  frameworks, platforms, or developer tooling 
• Strong understanding of  APIs, services, and system design 
• Writes clean, maintainable, production-grade code

Startup Mindset

• Bias for shipping and iteration
• Can translate AI complexity into simple abstractions
• Comfortable with ambiguity and rapid change
• Thinks in terms of  leverage and reuse , not one-off solutions

Less About

• Heavy model training or research
• Designing custom ML algorithms
• Academic optimization work.

Nice to have

• Experience with  agent-based systems  and tool calling
• Experience setting up  guardrails, moderation, and safety checks 
• Familiarity with  Docker, cloud infra, and CI/CD 
• Prior work in  platform teams or enablement roles

What do we offer?

• Reporting directly to Co-founder & CTO
• Direct access to top management and an extremely “visible” role
• Exceptional career growth and learning opportunity
• A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
• A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain  and many more countries
• A flexible work-from-home arrangement
• A 500-dollar home-office setup budget
• A 1000-dollar annual learning and development budget

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies,  and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

How you’ll make an impact

This position is either onsite from Paris, London, Berlin and Amsterdam or remote from these countries. 

As a Software Developer Engineer in Test (SDET), your mission will be to ensure that we only deliver highest-quality products to our customers. You will play a crucial role in our success by helping our users have the best possible experience.

Dataiku's platform is built on modern Web technologies (single page webapp with Angular/AngularJS) and integrates with a very large ecosystem of big data technologies (Spark, Hadoop, MPP databases, Cloud services, ...).

Our software testing stack is based on Python, Pytest, Selenium, and Allure for the integration tests. Our CI is based on Jenkins with intensive usage of AWS’s features.

At Dataiku, developers are involved in writing part of the automated integration tests together with the QA team.

Here's a taste of how you can help the team: 

• Coding advanced automated test suites to exercise our applications at all levels
• Defining manual testing plans, test strategies and define priorities
• Working with the developers to ensure that they deliver testable code
• Improving existing test infrastructure and frameworks (virtual machines, containers, auto-provisioning, UI testing, ...)
• Mentoring and helping new QA team members

What you need to be successful 

• You have experience in software test engineering with a significant part in automation (API and/or UI Testing)
• You think collaborating with developers is the key for a good testing strategy
• You have worked with at least one Object Oriented language (such as Python, Java, C#, or C++)
• You discuss choices before implementing them

What will make you stand out

• Experience with big data technologies, such as Hadoop, Spark, or Kubernetes 
• Experience with cloud platforms such as AWS, Azure, and GCP
• Basic knowledge of Machine Learning

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team
• Peer interview with two members of the team
• A take-home test to show your skills
• Debrief of your technical test with the VP of Test Engineering
• Final Interview with a VP of Engineering  #LI-Remote

Change the way the world travels

Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide. Since 2009, millions of travelers have booked unique activities with us in over 12,000 cities. Our headquarters in Berlin is supported by 16 other local offices across the globe. 

Ready to join a diverse community of over 850 fellow explorers dedicated to revolutionizing the travel experience industry? Check out our careers site to learn more.

Team mission

Since 2020, GetYourGuide has established a Machine Learning (ML) Platform team, providing the tools and best practices to help the Data Products team build and maintain production-ready ML/AI systems. The team's mission is to enable our diverse teams and ML/AI use-cases via self-service tools and automation. More recently the team was renamed as AI Platform Team as a way to better reflect our ambition to become an AI-first organization.

As a Senior MLOps Engineer, you'll join our AI Platform Team and have a chance to make an enormous impact across all of our data products. You'll work closely with our Data Products teams to build systems that enable ML/AI algorithms to go to production. If you are interested in contributing to the success of a product that is used by millions of travelers around the world then keep on reading.

Your mission:

• You'll design and implement systems and tools for scalable and more efficient machine learning solutions.
• You will work to increase the amount of data products in production reliably, reduce the time to production, and reduce operational costs.
• You'll be partnering/collaborating with product teams to bring advanced algorithms into production, following MLOps best practices.

Your toolkit:

• Data Science & MLOps: Data Scientists are close stakeholders for you. You share a genuine interest in Artificial Intelligence and Machine Learning. You bring 4+ years of experience in applying MLOps best practices at scale.
• Software Engineering: You have strong fundamentals in Computer Science and a polyglot mindset. Python is your language of choice; you are able to migrate between various programming languages though. Delivering clean code and investigating new tools, languages, and practices is your passion.
• Data Engineering: You bring previous experience in organizing and querying data at scale data warehouses, tools like Spark are not novelty for you.
• Business Experience: You possess the ability to prioritize and manage stakeholders; they know you for your good communication and collaboration skills. 
• Vision: Your ideas turn into reliable and maintainable code. A track record of outcome-driven work gives evidence of this. You are experienced in operating at scale; you have a cloud DevOps / infrastructure mindset.
• Autonomy: Your mindset can be described as autonomous, proactive and customer-oriented. You own your projects.
• Teamwork: You strongly believe that a team is more than the sum of its members. Mentoring and sharing knowledge are fulfilling activities for you.

Extras that give you an edge:

• Prior experience in scale-up environments with various technologies
• Interest in LLMs and the new challenges of Generative AI

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time. 
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

#LI-Hybrid