Do you believe the path to general-purpose physical AI runs through noisy, real-world factory deployments?
Are you excited by the challenge of turning the classical robotic stacks into the foundational training data for physical AI?
Do you want to bridge the gap between world-class ML research and industrial-scale robotic execution?
If your answers are yes, we should talk.
At Nomagic, we are executing a humble pivot for general-purpose physical AI. We believe that physical AI is fundamentally a knowledge transfer problem - we are leveraging the "internet data" of robotics - massive deployment logs from real systems operating in production environments - to bootstrap our efforts. We are looking for Research Engineers who will help us to build, train, and deploy foundational models that bring our fleet from a classical control stack to generalized AI mastery.
Offer Essentials
- Play with real robots, solving real problems, every day
- Relocation package
- Flexible working hours
- English-speaking environment
Here is why we love this job ourselves, and hope you will enjoy it too:
- We combine world-class research with top-notch engineering and apply it to solve real problems
- The data already exists. We have robots in production at scale. We aren't waiting for datasets to be collected; the byproduct of our machines doing useful work is being created right now
- We measure what matters. We test our code in unit tests, simulations, and directly on real robots. Grounding our models in deployment allows us to truly measure performance
- High leverage, high impact. We’re still a highly focused team. If your training recipes improve our agents, you directly change the economics of the company
- World-class peers. Our team has built Google Warsaw, unicorn startups, led research in DeepMind, tested rocket engines, and worked at top companies like Nvidia and ByteDance. Now, we are shaping the reality of Physical AI together
What You Will Do
What skills we’d like you to have:
What should you expect once you apply?
- A phone screen with the hiring manager to discuss your background and our technical direction
- A half-day of on-sites (cultural fit & deep-dive technical interviews)
- A final decision made within 2-3 days after the on-site interview
- Important: Expect detailed, honest feedback after completing the process, regardless of our decision
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
