Senior Hardware Operations and Robot Repair Lead, DeepMind

Senior Hardware Operations and Robot Repair Lead, DeepMind DeepMind - 5.0 Mountain View, CA Job Details Full-time $256,000 - $278,000 a year 19 hours ago Qualifications Maintenance inventory management Electrical equipment repair Mechanical assembly Robotic systems Procedural guides Calibration Laboratory experience Project timeline management Equipment troubleshooting 8 years Fleet management Schedule management Product development projects Electrical systems Bachelor's degree Electrical diagnostics Warehouse experience Electrical maintenance Maintenance management Root cause analysis Senior level Project leadership Leadership Sensors Project stakeholder communication Circuit boards Mechanical systems repair Full Job Description Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in hardware/fleet maintenance, robotics service, or field engineering. 6 years of industry experience with electrical troubleshooting, electrical assembly, and mechanical assembly. Experience developing specifications, SOPs, and test protocols.

Preferred qualifications:

Experience identifying root causes of hardware failure in the field. Experience working in a lab/warehouse setting and managing physical assets. About the job Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. 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 diverse 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 $256,000-$278,000 + 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 Oversee the daily uptime and operational readiness of a humanoid fleet, ensuring minimal downtime through rapid intervention. Guide a team and perform mechanical and electrical repairs, including sensor calibration, drivetrain maintenance, and Printed Circuit Board (PCB) troubleshooting. Document every repair and failure mode during your initial phase to create the standard operating procedures (SOPs) that will be used across all future fleet models. Standardize the repair kit, selecting the tools, parts inventory, and diagnostic software required to keep operations running. Implement standard operating procedures and iterate on the process. 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.