Join our GPU simulation team and build the simulator that trains our reinforcement-learning agents for air autonomy. You will shape the simulator that turns complex air-combat scenarios into learning environments at scale, model the physics behind air combat, and support the transfer of those policies to the real aircraft. This role sits at the meeting point of AI, GPU computing and physics-based simulation, with room to grow into a leadership position as the team matures.
Key Highlights
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
Collaborate with AI specialists and engineers to align the simulator with training needs and mission-relevant outcomes
Key Responsibilities
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
Collaborate with AI specialists and engineers to align the simulator with training needs and mission-relevant outcomes
Technical Skills Required
Python
GPU programming
High-performance simulation
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Benefits & Perks
Competitive salary and VSOP options
Relocation support: up to €2,500 and 4 weeks temporary accommodation
Learning: €500/£450 yearly allowance
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Nice to Have
Solid AI knowledge and can reason about how models are trained and evaluated
Deep GPU expertise, such as writing and optimising CUDA kernels, or expertise in libraries such as Taichi, NVIDIA Warp/CuteDSL, Triton or Helion
Job Description
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.
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