Software Technical Lead, On-Device Inference Software, Robotics, DeepMind

Google; Mountain View (CA); On-site; USD 207,000 - 301,000; Full time

Job summary

Google DeepMind, located in Mountain View, CA, seeks a Software Technical Lead for On-Device Inference Software in Robotics. You will own software strategy for on-robot compute, ensuring Gemini Robotics models run securely on embedded hardware, bridging research and infrastructure to deliver a cohesive, high-performance stack from OS to model server.

You will lead cross-functional teams, drive alignment, and advance safety and efficiency in edge AI systems, contributing to Google DeepMind's

Qualifications

• 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 with embedded compute platforms such as Nvidia Jetson Thor or Qualcomm IQ-X.

Responsibilities

• Lead the 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 entire hardware and software integration layer.
• Optimize system software to run state-of-the-art Vision Language Action (VLA) models like Gemini Robotics efficiently on edge devices.

Skills

Leadership

Full-stack software

Embedded systems

Communication skills

Education

Bachelor’s degree in CS/CE or related field

Master’s or PhD in CS/EE/Robotics

Tools

Nvidia Jetson Thor

Qualcomm IQ-X

JAX/PyTorch

CUDA/XLA

Job description

Software Technical Lead, On-Device Inference Software, Robotics, DeepMind

Location: Mountain View, CA, USA

Minimum qualifications:

• 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 advanced embedded compute platform such as the Nvidia Jetson Thor, or Qualcomm IQ-X.

Preferred qualifications:

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

About the job

At Google DeepMind our mission is to build the world’s first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will work with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualisation of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

As a Technical Lead for On-Device Inference Software, you will take ownership of the software strategy and execution for on-robot compute solutions. You will be responsible for ensuring our advanced Gemini Robotics models run flawlessly and securely on cutting-edge embedded hardware. In this highly collaborative leadership position, you will bridge multiple teams, driving alignment between research and infrastructure to deliver a cohesive, high-performance system software stack from the OS level up to the model inference server. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits.

Learn more about benefits at Google.

Responsibilities

• Lead the 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 entire hardware and software integration layer.
• Optimize system software to run state-of-the-art Vision Language Action (VLA) models like Gemini Robotics efficiently and seamlessly on edge devices.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.