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Helsing

AI Research Engineer - GPU Simulation

Helsing · Munich - Berlin - London - Paris

Posted 26 days ago

or apply directly on Helsing's site. We never take the application ourselves.

Is this posting real?

This role has been open
26 days
Helsing's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Helsing's roles list one
Ghost-job risk at Helsing
high
90 stale, 3 reposted of 141 open
Hiring momentum
187 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Helsing's own greenhouse board since 2026-08-03. Full hiring picture for Helsing.

About this role

As an AI Research Engineer focused on GPU simulation at Helsing, you will develop and enhance a GPU-based simulator for training reinforcement-learning agents in air combat scenarios. Your responsibilities include improving simulation fidelity, scaling environments, and ensuring effective transfer of trained policies to real aircraft. Collaboration with AI specialists and engineers is key to aligning the simulator with mission objectives, while also having the potential to grow into a leadership role as the team evolves.

Our read on this posting3.4out of 5
benefits
4/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Helsing as an employer.

What you need

  • MSc or PhD in Computer Science, Machine Learning, Robotics, Control Engineering, or a closely related field
  • Solid software engineering skills in Python and/or languages like Rust or modern C++
  • Experience deploying software to production including testing and monitoring
  • Depth in GPU programming, high-performance simulation, physics or flight-dynamics modelling, or navigation and control
  • Ability to write high-quality, maintainable code and contribute to a shared library

Nice to have

  • Solid AI knowledge and understanding of model training and evaluation
  • Knowledge breadth across GPU programming and simulation environment design
  • Deep GPU expertise, such as writing and optimizing CUDA kernels, or expertise in libraries like Taichi, NVIDIA Warp/CuteDSL, Triton or Helion

What you get

  • Competitive salary and VSOP options
  • Relocation support: up to €2,500 and 4 weeks temporary accommodation
  • €500/£450 yearly learning allowance
  • Gym membership and mental health support
  • Regular company events and monthly social allowances
  • 22 weeks fully paid parental leave for primary caregivers and 6 weeks for secondary caregivers

Worth weighing

  • No specific salary listed
  • Role involves working in a highly specialized and potentially high-pressure domain
  • The company emphasizes ethical considerations in technology deployment, which may influence project direction

Summarised from Helsing's posting. Read the full original.

Listed by Helsing on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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