Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind - Google Careers
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Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind
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corporate_fareDeepMindplaceMountain View, CA, USA
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Minimum qualifications:
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About the job
We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people.
This is a dedicated Software Quality and Engineering Productivity leadership role. In this role, you will be an expert whose primary passion and career focus is building, owning, and scaling the quality of software releases and AI model validation on standard and custom hardware. You will play a major role in influencing the velocity at which our team solves Artificial General Intelligence (AGI) in the physical world. As our software and hardware infrastructure grows to support the increasing scale of robotics research, we need to continuously build and upscale our testing, reliability, validation, release strategy, and overall engineering productivity and velocity.
Robotics infrastructure is uniquely difficult. You will be solving for non-deterministic hardware wear-and-tear, complex large-scale model deployment, fast inference, and the massive data requirements of AGI. You will be experienced with software quality and release strategy on custom or experimental hardware. Your work will directly determine how many iterations our engineers and scientists can run per day, week, and year, while holding a high quality bar.
Artificial intelligence will be one of humanity's most transformative inventions. At 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: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
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.
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/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.
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