Robotics Embedded Software Tech Lead, DeepMind

Google•Mountain View, CA

2d•$207,000 - $300,000

About The Position

Google DeepMind is hiring a technical lead for on-device inference software. The role owns software strategy and execution for on-robot compute solutions, ensuring Gemini Robotics models run reliably and securely on advanced embedded hardware. The lead will coordinate research and infrastructure teams to deliver a cohesive, high-performance system software stack, from the operating system through the model inference server. The role focuses on building and optimizing on-device inference systems for robotics and preparing them for external deployment. The broader team works with AI agents developed by machine learning and neuroscience researchers, testing prototypes through games, physics simulators, and robots. Google DeepMind describes its mission as advancing AI to address global challenges and support scientific discovery, with safety and ethics as priorities. US compensation is $207,000–$300,000, plus a 20% bonus target, equity, and benefits. Individual pay depends on job-related skills, experience, and relevant education or training.

Requirements

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 in software development with an advanced embedded compute platform such as Nvidia Jetson Thor or Qualcomm IQ-X.

Nice To Haves

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.
Demonstrated engineering leadership experience and a strong track record of driving large-scale, cross-organizational technical initiatives.
Familiarity with foundation models and the computational and security demands of running them in physical, interactive robotics environments.
Strong communication skills, including the ability to articulate complex safety requirements to research, hardware, and software engineering teams.
Demonstrable expertise with JAX or PyTorch and related foundational technologies such as XLA and CUDA.

Responsibilities

Lead software architecture and development for on-device inference, ensuring system readiness for external deployments.
Coordinate and drive engineering efforts across multiple cross-functional teams to deliver critical system components.
Ensure consistency, performance, and robust model security across the hardware and software integration layer.
Optimize system software to run state-of-the-art Vision Language Action (VLA) models, such as Gemini Robotics, efficiently on edge devices.