Robotics Embedded Software Tech Lead, DeepMind
Mountain View, CA, USA · Full-time · Posted Oct 29, 2026
- Experience
- 8 years leading and delivering full-stack system software projects; 3 years with system-level software components.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
About the job
Leads the architecture and development of secure, high-performance on-device inference software for Gemini Robotics models on embedded hardware.
What you'll do
- Lead on-device inference software architecture and development for deployment readiness.
- Coordinate cross-functional engineering teams to deliver system components.
- Ensure performance and model security across hardware and software integration, and optimize VLA models for edge devices.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- 8 years of experience leading and delivering full-stack system software projects.
- 3 years of experience with system-level software components such as operating systems, firmware, and compilers.
- Experience developing software for advanced embedded compute platforms such as the Nvidia Jetson Thor, or Qualcomm IQ-X.
Nice to have
- Master’s degree or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
- Experience with on-device AI inference for robotics, automotive, or related use cases; engineering leadership; foundation models; or JAX or PyTorch and related technologies (XLA, CUDA).
Pay
USD $207000 - $300000 (base salary)
Tools
Nvidia Jetson Thor, Qualcomm IQ-X, JAX, PyTorch, XLA, CUDA
AI focus
Optimizes on-device inference of Gemini Robotics and other Vision Language Action (VLA) models on embedded robotics hardware, with attention to performance and security.
Model-written summary · the original posting is authoritative