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Senior Technical Program Manager - Humanoid Robotics Operations

NvidiaSanta Clara, CA

$168,000 - $258,750 / year

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Overview

Schedule
Full-time
Education
Engineering (PE)
Career level
Director
Remote
On-site
Compensation
$168,000-$258,750/year
Benefits
Paid Vacation

Job Description

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.

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FAQs About Senior Technical Program Manager - Humanoid Robotics Operations Jobs at Nvidia

What is the work location for this position at Nvidia?
This job at Nvidia is located in Santa Clara, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Nvidia?
Candidates can expect a pay range of $168,000 and $258,750 per year.
What employment applies to this position at Nvidia?
Nvidia lists this role as a Full-time position.
What experience level is required for this role at Nvidia?
Nvidia is looking for a candidate with "Director" experience level.
What education level is required for this job?
The education requirement for this position is Engineering (PE). Candidates with relevant qualifications or equivalent experience may also be considered.
What benefits are offered by Nvidia for this role?
Nvidia offers Paid Vacation for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Nvidia?
You can apply for this role at Nvidia either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.