Senior Technical Program Manager - Nemotron EU Engagement

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.

Nemotron Edge PMO organization seeks a Technical Program Manager to oversee the collection, curation, and release of massive-scale datasets. In this position, the TPgM will build the data foundation that enables NVIDIA’s models to lead in enterprise and agentic AI, delivering premier language understanding and synthetic data generation optimized for NVIDIA infrastructure!

What you will be doing:

• Drive execution for sourcing, curating, and maintaining high‑quality data used to train and evaluate Robotics/LLM programs
• Identify, evaluate, and onboard external data/annotation vendors aligned with LLM use cases, quality needs, and compliance constraints.
• Negotiate contracts, pricing, SLAs, and KPIs with vendors; track performance and drive continuous improvement and cost efficiency.
• Partner with Legal, Privacy, and Security to ensure data contracts, access, and usage align with regulatory and internal policies.
• Dashboards and reporting to monitor data quality, vendor throughput, turnaround time, and budget utilization.
• Create and maintain documentation, playbooks, and processes for repeatable, scalable LLM data and vendor operations.

 

What we need to see:

• 12+ years of experience in data operations, vendor management, or technical program management—preferably supporting AI/ML or LLM initiatives.
• Bachelors degree or equivalent experience.
• Exceptional skills in prioritizing and building alignment.
• Consistent track record of leading and successfully delivering medium to large organizational-wide programs and projects.
• Experience with AI/ML data vendors (annotation, eval, labeling platforms)
• Comfort working with research teams who have fast-changing requirements
• AI-native mindset — uses tooling to automate vendor reporting, tracking, and communication
• Ability to operate in ambiguity and rapid pivots — vendor scopes change fast in GenAI.

 

Ways to stand out from the crowd:

• Strong understanding of data governance, data quality, and compliance frameworks.
• Proven experience managing external data vendors, setting KPIs, SLAs, and performance metrics.
• Working knowledge of LLM training data pipelines, annotation workflows, and synthetic data generation.
• Proven track record of driving measurable cost savings or quality improvements directly tied to how you structured and managed vendor relationships
• Built vendor scorecards, playbooks, or tracking tools that were adopted 

 

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 range for this position is 200,000 USD – 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 13, 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.