Customer Program Manager - Automotive

NVIDIA Customer Program Manager

At NVIDIA, our employees are passionate about parallel and visual computing which is becoming the backbone of the recent Artificial Intelligence revolution. Our technology is at the heart of the state-of-the-art innovation in

A.I, video games, cloud and enterprise computing and embedded fields. We need passionate, hardworking, and creative people to help us seek some of these rare opportunities!

We are searching an experienced Customer Program Manager for the US market to lead the autonomous driving, robo-taxi, and A.I. in the car programs with Tier-1 and car OEMs. As a key member of the Customer Program Management Team for NVIDIA's Automotive business unit, this role requires an expert in Program Management with solid engineering background who will be responsible for the managing of program execution as well as customer relations.

• Lead customer-facing automotive programs involving AI, data science, ADAS, autonomous driving, in-cabin AI, perception, simulation, or software-defined vehicle platforms.
• Partner with customers and internal teams to define and execute data campaign initiatives, including data collection goals, sensor coverage, scenario targets, edge-case discovery, labeling needs, dataset readiness, and feedback loops into model development.
• Define program schedules, achievements and work based on the customer roadmap and requirements
• Translate customer requirements into specific tasks for all functional areas and actively collect, track and drive all issues to closure
• Communicate the issue status to the customer and internal teams located on different geographical zones
• Identify and accurately represent the priority of issues and raise them appropriately
• Work closely with the engineering, quality, logistics and the Sales team to resolve technical and logistic issues
• Regularly communicate the program status and key issues to customer and Nvidia management

• Have 12+ years of experience in project/program management in the Automotive or Embedded Industry for electrical/electronic and software products
• A strong technical background and experience working with customers in an OEM environment
• Experience in handling global projects with multinational program members
• BS/MS or equivalent experience in Engineering or Computer Science, MBA with prior technical background
• Understanding of machine learning and data science workflows, including data ingestion, labeling, feature analysis, model training, evaluation, validation, and deployment.
• Experience supporting or leading data campaign initiatives for automotive, robotics, autonomy, perception, mapping, simulation, or other AI-heavy domains.
• Exposure to ML Ops, data operations, cloud AI infrastructure, GPU-accelerated training, simulation pipelines, synthetic data, or large-scale data management.

• Track record in managing complex hardware and software product development preferably in automotive industry
• Prior experience in ADAS, Autonomous Driving, Mapping or Data Collection projects
• Leadership in coordination of different functional teams towards the same target
• Good communication, presentation, negotiation, and organization skills.
• Dedicated and able to work with minimum supervision

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range 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 July 13, 2026.

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.