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 the pay of employees in similar positions. The base salary range is 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.
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.Skills Required
- Bachelor's degree in Computer Science, Computer Engineering, or similar technical field or equivalent experience
- 8+ years 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 ability to influence others
- Prior success delivering ambitious projects for frontier AI
- Experience with Physical AI data, including teleoperation data collection, curation, annotation, or quality control
- Development of data collection or annotation workflows, processes and guidelines
- Background in ML research or robotics
- Previous experience owning a product portfolio and delivering results
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
