$200,000 – $391,000
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a team of engineers building NVIDIA's data labeling and annotation platform, which powers AI model training across research initiatives like robotics and red teaming. This role blends hands-on technical work—particularly in Python and system design—with people management, requiring you to bridge product engineering, data operations, and research stakeholders.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's, Master's or PhD in Computer Science, Engineering, or related field (or equivalent experience)
- 10+ years of professional software engineering experience
- 2+ years as a technical lead or engineering manager
- Strong background in Software Engineering, Data Engineering, or AI Application Engineering
- System design skills with deep hands-on Python expertise
- Architecture-level understanding of data pipelines and distributed systems
- Experience integrating machine learning models into production workflows
- Leadership experience mentoring engineers or formally managing a team
- Exceptional stakeholder management and communication skills
Nice to have
- Experience with human-in-the-loop data programs for RLHF, preference data, or red teaming
- Experience applying models to reduce human effort in labeling workflows with measured results
- Working proficiency in TypeScript or JavaScript with focus on user-centric interaction design
- Background in multimodal data such as video, 3D, point clouds, speech, or document understanding