AI Research Engineer - GPU Simulation

In this role you join Helsing’s GPU simulation team to build a simulator that trains reinforcement-learning agents for air autonomy. You will shape physics-based models and scale the environment to thousands of parallel instances, enabling transfer of learned policies to real aircraft. You’ll work at the intersection of AI, GPU computing, and physics-based simulation with opportunities to grow into leadership. You’ll contribute to mission-driven, ethically-conscious defence work that aims for impactful, order-of-magnitude improvements.

• Competitive salary
• VSOP options
• Relocation support
• Learning allowance
• Health & wellness support
• Enhanced parental leave

• Build, extend, and scale a GPU-based simulator for RL across thousands of parallel environments
• Develop tooling for RL training, including domain randomisation to improve sim-to-real generalisation
• Improve fidelity and performance of simulation models (flight dynamics to sensing)
• Enable sim-to-real transfer by exporting trained policies/assets to downstream simulators and hardware
• Collaborate with AI specialists and engineers to align the simulator with training needs and mission outcomes

• Solid software engineering skills; clean, well-structured code in Python and/or Rust/C++
• Production-ready software deployment including testing and monitoring
• Depth in at least one: GPU programming, high-performance simulation, physics/flight-dynamics modelling, or navigation and control
• Own high-quality, maintainable code and contribute to shared libraries and ecosystem
• Care about mission impact and real operational relevance

• Ownership of code and outcomes
• Critical thinking and robust problem-solving
• Collaborative, cross-functional teamwork
• Python
• Rust or modern C++
• GPU programming