- Technical Foundation: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience), plus 8+ years of proven experience in data, software development, or TPM roles within the tech industry.
- Agile Problem Solving: Validated ability to manage ambiguous, multi-stakeholder programs where requirements evolve weekly. Be comfortable experimenting with data to test hypotheses and adapting to shifting priorities.
- Stakeholder Leadership: Strong interpersonal skills with a track record of influencing teams and partnering with ML researchers to turn model needs into actionable data requirements.
Ways to stand out from the crowd
- AI Specialization: Experience delivering large-scale data for generative AI (LLMs, VLMs, Diffusion) and familiarity with synthetic data generation techniques versus human-labeled data.
- Technical Expertise: A background in data science or ML research, particularly with "data-as-code" initiatives.
- Workflow Design: Hands-on experience scaling Human-in-the-Loop (HiTL) annotation workflows, including task design and vendor management.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, and Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.
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 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 November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.