Six Figure Work

Senior Product Manager, Physical AI Robotics Data

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $168,000  to $327,750

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (13 min ago) · observed since

About this job

NVIDIA is seeking a Product Manager to own data strategy for robotics data. Physical Intelligence runs on data. NVIDIA’s robotics data powers the Isaac GR00T and Cosmos models which are advancing the development of Physical A!!

NVIDIA Physical AI data roles offer an outstanding opportunity to define the future of deployed physical intelligence. You will collaborate closely with AI researchers, our operations team, and external partners to set an industry standard, build and release datasets, and develop new methodologies for data capture!

What You'll be Doing:

  • First and foremost, you will be the key point person for all things robotics training data: requirements gathering, data collection, quality assurance, partner discussion, and data impact evaluation

  • We craft and implement robust data frameworks and standards for robotics data: data formats, quality requirements, and data distribution

  • Provide strategic direction to internal operations on data collection and annotation, ensuring data supports the goals of the research and engineering teams.

  • Collaborate with internal and external deep learning engineers and researchers to build short and long term data acquisition plans

  • Forge strategic partnerships and collaborations to acquire high-quality, diverse data sources essential for the development and fine-tuning of robotics foundation models

  • Contribute to the creation and refinement of tools and technologies for efficient data collection and curation

What We Need to See:

  • Bachelor’s degree in Computer Science, Computer Engineering, or similar technical field or equivalent experience

  • 8+ years of work experience in robotics data, hardware or software development, or product management at a technology company

  • Ability to quickly experiment with data to test hypotheses

  • Track record of delivering data at scale for AI applications

  • Strong communication skills and evidence of ability to influence others

  • Prior success delivering ambitious projects for frontier AI

Ways to Stand Out from the Crowd:

  • Experience with Physical AI data, including teleoperation data collection, curation, annotation, or quality control

  • Development of data collection or annotation workflows, process and guidelines 

  • A background in ML research or robotics

  • Previous experience owning a product portfolio and delivering results

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 258,750 USD for Level 4; and 208,000 USD – 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($168,000) is above 38% of the 863 Product roles in California listed on this site; 13 others list the same floor. Their median floor is $176,800; the middle half runs from $151,300 to $205,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Product Manager, Physical AI Robotics Data (this listing)$168,000 - $327,750
L11 System Product Development Engineer$168,000 - $258,750
Senior Software Engineer, Network Visibility Platform - DGX Cloud$168K - $322K
Hardware Validation Procedures and Documentation Lead$168,000 - $258,750
Senior Software Engineer, Platform Engineering$168K - $322K
PhD Research Scientist, Fundamental Generative AI - New College Grad 2026$168,000 - $264,500
AI Engineering Manager - Finance$168K - $322K

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara (Levels 4-5 combined)

168,000 USD – 258,750 USD for Level 4; and 208,000 USD – 327,750 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.