Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Alliance/Partner Management, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, C Programming Language, C++ Programming Language, Cloud Computing, Computer Engineering, Computer Science, Ecosystems, English Language, Equal Employment Opportunity (EEO), Federal Government, Fleet Management, Genetics, Government, Hardware Design, Java, JavaScript, Machine Learning, Metrics, Network Architecture/Engineering, Network Operations Center, Operations Management, Optical Engineering, Optical Networking, People Management, Product Development, Product/Service Launch, Productivity Management, Program Planning, Project/Program Management, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Robotics, Sales, Security Architecture, Software Engineering, Supply Chain Management, Systems Administration/Management, Systems Engineering, Systems Reliability, Team Lead/Manager, Technical Leadership, Technical Support, Telecommunications, User Interface/Experience (UI/UX), Vehicle Fleets
LOCATION
Mountain View, CA
POSTED
30+ days ago

Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind - Google Careers

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Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind

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Minimum qualifications:

  • 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.

Preferred qualifications:

  • 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.

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.

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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Design and implement large scale software and hardware for major projects, supporting both conventional and on-robot testing, as well as manual and automated.
  • Design and deploy a software release discipline, with flexible and powerful staging environments, and comprehensive regression checks for software, AI models, and robot hardware as it wears out over time.
  • Define and implement engineering productivity metrics over the full engineering lifecycle, from code authoring to landing in production. Identify and eliminate bottlenecks, code debt, reduce productivity drag, and improve code health. Act as a team multiplier on the software health of the organization, particularly as it pertains to optimizing the Data/ML Flywheel.
  • Lead agentic AI in our complex and unique ecosystem.
  • Drive end-to-end system reliability and systems engineering for critical fleet management and data systems and the physical robot fleet.

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.

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