AI Research Engineer - GPU Simulation

• Build, extend, and scale our GPU-based simulator to train reinforcement-learning agents across thousands of parallel environments

• Develop the tooling that underpins RL training, including domain randomisation, to improve sim-to-real generalisation

• Improve the fidelity and performance of simulation models, from flight dynamics to sensing

• Enable sim-to-real transfer by supporting the export of trained policies and assets into downstream simulators and, ultimately, onto physical hardware

• Collaborate with AI specialists and engineers to align the simulator with training needs and mission-relevant outcomes

• Hold an MSc or PhD in Computer Science, Machine Learning, Robotics, Control Engineering, or a closely related field

• 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 software to production including testing, and monitoring

• Bring depth in at least one of the following: GPU programming, high-performance simulation, physics or flight-dynamics modelling, or navigation and control

• Own high-quality, maintainable code and shape the shared library and ecosystem that the wider team builds on

• Care about our mission and want your work to have real operational impact

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

• Have solid AI knowledge and can reason about how models are trained and evaluated

• Have knowledge breadth across the specialist areas above, for example combining GPU programming with simulation environment design

• Have deep GPU expertise, such as writing and optimising CUDA kernels, or expertise in libraries such as Taichi, NVIDIA Warp/CuteDSL, Triton or Helion

• 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

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

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

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