NVIDIA Logo

NVIDIA

Senior Technical Program Manager – Humanoid Robotics Operations

Posted 25 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA
168K-322K Annually
Senior level
In-Office
Santa Clara, CA
168K-322K Annually
Senior level
Lead technical program management for humanoid robotics research operations. Coordinate researchers, engineers, lab operations, vendors, hardware partners, data workflows, equipment procurement, and multiple concurrent workstreams. Track priorities, blockers, milestones, integrations, and deliverables while communicating status to technical teams and leadership. The role requires technical fluency in AI, machine learning, robotics, Python, and related frameworks, plus English and Mandarin proficiency and in-person work at NVIDIA’s Santa Clara headquarters.
The summary above was generated by AI

We are now looking for a Senior Technical Program Manager for Humanoid Robotics Operations!

NVIDIA is seeking a Senior TPM to join the Generalist Embodied Agent Research (GEAR) group. We lead Project GR00T, NVIDIA’s moonshot initiative to build the AI brain for humanoid robots. You will work with an amazing and collaborative research team that consistently produces influential works on LLMs, foundation models, robotics, embodied AI, and physics simulation. We need a hardworking, passionate, and diligent TPM to help make sure the team is maximally productive and stays on track.

What you'll be doing: 

  • Work closely with researchers and engineers in the team and track to-dos daily. Collect requirements, define priorities, understand critical roadblocks, and communicate effectively with team leads.

  • Coordinate with lab ops teams to ensure smooth execution of experiments, maintenance, and logistics.

  • Support end-to-end data workflows, including collection planning, vendor coordination, validation, and integration with ML pipelines.

  • Coordinate with external partners, such as humanoid robot hardware companies, to align project timelines, deliverables, and integration efforts.

  • Track execution across multiple active workstreams, monitor blockers, and help drive alignment with engineering teams.

  • Work closely with researchers and technical leads to understand shifting priorities, surface trade-offs, and maintain delivery momentum.

  • Present status updates clearly and confidently to both technical collaborators and leadership.

  • Manage the purchase and maintenance of lab equipment, ensuring all necessary hardware is available and functioning optimally. Work with facilities crew to address operational issues for a safe and efficient lab environment.

What we need to see:

  • A Bachelors or Masters in Computer Science, Computer Engineering, Robotics, Mechanical Engineering or related relevant Engineering Degree (or equivalent experience).

  • A 6+ years of experience in program or project management roles in AI, robotics, or hardware-software cross-functional environments. 8+ years of previous engineering experience, ideally in AI, robotics or machine learning related fields.

  • Highly meticulous with strong multi-tasking skills. Must be able to manage 10+ project threads simultaneously and ensure successful milestones. 

  • Strong sense of urgency, ownership, and execution mindset. Someone who thrives under high pressure and consistently delivers with speed and quality.

  • Excellent communication and technical presentation skills.

  • Adaptability to a fast-paced and dynamic work environment in the highly competitive AI research landscape. 

  • Speaking and writing fluently in English and Mandarin to communicate with domestic and international partner companies.

  • Based in NVIDIA HQ, Santa Clara, CA, and able to come to the lab in person.

  • Hands-on coding experience. Familiarity with Python and related ML/AI frameworks

Ways to stand out from the crowd:

  • Prior experience coordinating with robotics hardware vendors, contractors, or manufacturing partners in fast-paced environments.

  • Strong technical background with an understanding of AI, machine learning, and robotics concepts. 

  • Prior background in working across geographies and time zones.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most experienced and dedicated people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 22, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Similar Jobs

18 Minutes Ago
In-Office
106K-177K Annually
Entry level
106K-177K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads clinical pharmacology activities for a late-stage immuno-oncology program. Designs dose-finding strategies, analyzes pharmacokinetic data, supports clinical trial design and reporting, and drafts clinical pharmacology content for protocols, development plans, and regulatory documents. Collaborates with clinicians, statisticians, translational oncology, and clinical operations teams while providing scientific guidance and mentoring colleagues.
Top Skills: NonmemRSASWinbugs
6 Hours Ago
Remote or Hybrid
United States
60K-81K Annually
Mid level
60K-81K Annually
Mid level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Partner with skilled nursing and long-term care clients to assess and improve revenue cycle operations—admissions, payer authorization, MDS/PDPM reimbursement, billing, collections, and denials. Lead client engagements, recommend process and system improvements using EHR and billing data, manage project execution, deliver training, and support change management to optimize reimbursement and financial performance.
Top Skills: Billing SystemsElectronic Health Record (Ehr)Revenue Cycle Management Systems
6 Hours Ago
Remote or Hybrid
United States
107K-144K Annually
Mid level
107K-144K Annually
Mid level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Own and prioritize the Workday/ERP product backlog, translate business needs into epics and user stories, partner with Finance and business leaders, support Agile delivery and releases, manage integrations and reporting, ensure compliance and security, and drive continuous improvement and adoption across Workday modules.
Top Skills: AgileWorkday FinancialsWorkday IntegrationsWorkday PsaWorkday Release ManagementWorkday Reporting

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account