Robotics Engineer, Controls and Autonomy
Google DeepMind · Cambridge, MA, USA
CHECKED 22H AGO
Frontier labonsite$147k–$210k
At a glance
Highlights
- Design control systems for long-horizon, fully autonomous robot behaviors.
- Optimize low-latency control loops for stable complex physical interactions.
- Help define requirements for future robotic systems with hardware teams.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
A hands-on robotics engineer passionate about safe autonomous systems and taking long-horizon behaviors from simulation to real hardware in close collaboration with hardware and AI teams.
Requirements
- Bachelor's degree in Engineering, Computer Science, related field or equivalent practical experience
- 2 years of experience with software development in one or more programming languages
- 2 years of experience developing and debugging robotic software systems
- 2 years of experience with physics-based simulation environments, specifically MuJoCo
- 1 year of experience developing behaviors for mobile robotic systems
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)