Robotics Automation Technical Lead Manager, Platforms Infrastructure

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Android, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Automation, Channel Strategies, Cloud Computing, Computer Systems, Contract Manufacturing, Control Systems, Cross-Functional, Data Collection, Electricity, Embedded Software, Embedded Systems, Engineering Management, English Language, Equal Employment Opportunity (EEO), FPGA, Genetics, Haptics, Leadership, Mechanical Engineering, Microcontroller, Motion Control, Network Operations Center, Operating Systems, Operations Management, Operations Research, Problem Solving Skills, Product Development, Product Lifecycle, Product/Service Launch, Program Planning, Programming Languages, Project/Program Management, Realtime Operating System, Recruiting/Staffing Agency, Regulatory Requirements, Reinforcement Learning, Research & Development (R&D), Risk Management, Robotics, Robotics Software, Sales Management, Security Architecture, Simulation, Software Development, Software Engineering, Supply Chain Management, Systems Engineering, Team Lead/Manager, Technical Leadership, Telecommunications, Training/Teaching
LOCATION
Sunnyvale, CA
POSTED
22 days ago

Robotics Automation Technical Lead Manager, Platforms Infrastructure - Google Careers

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Robotics Automation Technical Lead Manager, Platforms Infrastructure

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XThis is a specialized role which requires physical interaction with hardware equipment in a simulated data center environment, utilizing Google labs, power, and safety equipment. Regular development and processing of engineering hardware must be performed on site.

Minimum qualifications:

  • Bachelor"s degree or equivalent practical experience.

  • 8 years of experience in leading cross-functional teams, and robotics product development.

  • Experience in robotic control, planning, kinematics, and mechatronic systems.

  • Experience in shipping full-stack robotics systems.

  • Experience in robotics industry, robotics applications development and turning research and development (R&D) into deployed, real world systems.

Preferred qualifications:

  • Experience with embedded systems (e.g., RTOS, microcontrollers, FPGA), sensor fusion, and actuator control.
  • Experience implementing foundational vision-language-action (VLA) models, imitation learning, and reinforcement learning (RL) pipelines to teach robots dynamic object manipulation.
  • Experience accelerating robot learning with world models and simulation.
  • Familiarity with motion control systems and robotics programming languages (e.g. Robot Operating System) or similar frameworks.
  • Understanding of recent advancements in the robotics field, specifically the application of general-purpose bipedal/wheeled humanoid platforms for flexible, human-centric data center tasks.
  • Understanding of low-latency tele-operation infrastructure, haptic feedback integration, and human-in-the-loop systems for remote hardware interventions and data collection.

About the job

Our Physical Infrastructure Robotics team is dedicated to implementing robotics technologies and solutions to transform operations inside our data centers.

In this role, you will lead the development, integration, and scaling of autonomous physical systems across our global hyperscale data center footprint. You will lead across multiple robotics engineering disciplines to develop innovative and industry-leading solutions to enable next generation data center operations. You will collaborate closely with hardware, software, and system engineers to ensure seamless product integration, and integration of the solutions into our infrastructure operations. You will maximize physical hardware operational uptime, accelerate time-to-market, and reduce safety risks within ultra-high-density compute environments.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $237,000-$329,000 + 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

  • Collaborate closely with executive leadership to align on Robotics initiatives and roadmap, engineering execution with business goals.
  • Build and lead high-performing engineering teams across mechanical, electrical, embedded, and software disciplines within Robotics engineering.
  • Provide management support and guidance to internal teams and external partners (including solution vendors and contract manufacturers) throughout the development lifecycle, addressing inquiries and resolving issues as they arise.
  • Deliver the multi-year robotics and hardware automation strategy tailored for compute, storage, and specialized liquid-cooled AI hardware infrastructure.
  • Oversee the end-to-end deployment of autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and multi-axis robotic arms for handling delicate data center hardware.

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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