> Markdown version of [/jobs/ext/529928-lead-software-engineer-infrastructure-quality-robotics-deepmind](https://www.wearedevelopers.com/jobs/ext/529928-lead-software-engineer-infrastructure-quality-robotics-deepmind). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind - **Company:** DEEPMIND MATRIX - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $262,000.0 - $365,000.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, C++ (Programming Language), Python (Programming Language), Machine Learning, Systems Development Life Cycle, Software Engineering, Software Systems, Model Validation, Reliability of Systems, Information Technology - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=dc0ee1f9cb332f33 ## About the Role Do you have experience in Team supervision?, Do you have a Master's degree?, * Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * 8 years of experience programming in a general purpose coding language (e.g., C, C++, Java, JavaScript, or Python). * Experience in a people management, supervision/team leadership role., * Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related technical fields. * 3 years of experience in systems development engineering, system reliability engineering, software engineering with a focus on operations, or advanced systems administration. ## Description * Design, implement, and own the long-term roadmap and execution for large scale software and HWITL testing environments, conventional and on-robot testing, as well as manual and automated. * Design, deploy, and manage a robust software release discipline, with flexible powerful staging environments, and comprehensive regression checks for software, AI models, and robot hardware over time. * Define productivity metrics such as code in production, bottlenecks, code debt, reducing, and improving code health, and optimize the data/ML Flywheel, from ingestion and labeling to model evaluation and deployment. * Lead application of agentic AI, including automating root-cause analysis of HWITL failures, edge-case scenarios, or data quality or AI model performance problems. * Drive end-to-end system reliability for software systems and robot fleets. Partner with external hardware vendors and internal teams to co-develop, integrate, and test joint software and hardware releases. 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. ## Related Videos - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Rethinking Intelligence: AI, Accessibility, and the Future of Inclusive Work - Artur Ortega](https://www.wearedevelopers.com/videos/1377-rethinking-intelligence-ai-accessibility-and-the-future-of-inclusive-work-artur-ortega) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)