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

- **Company:** DEEPMIND MATRIX
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $207,000.0 - $301,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Compilers, Nvidia CUDA, Computer Engineering, Firmware, Software Architecture, Software Engineering, System Software, Systems Integration, Pytorch, Information Technology
- **Published:** July 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bd90c4afe04d2cbb

## About the Role

* 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., * 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.

## Description

* 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.


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