Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Machine Learning @ 3
MLOps @ 3
Data Science @ 3
Leadership @ 3
Communication @ 6
GPU @ 3
AI @ 3
Robotics @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 state-of-the-art innovation in AI, video games, cloud and enterprise computing and embedded fields. NVIDIA’s solutions power digital cockpits, infotainment systems and autonomous driving platforms of some of the world’s most creative and established car makers.
We are searching for an experienced Customer Program Manager for the US market to lead autonomous driving, robo-taxi, and in-car AI programs with Tier-1 suppliers 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 a solid engineering background who will be responsible for program execution and customer relations.
Responsibilities
- 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 issue status to customers and internal teams located across different geographical zones.
- Identify and represent the priority of issues and escalate appropriately.
- Work closely with engineering, quality, logistics and sales teams to resolve technical and logistic issues.
- Regularly communicate program status and key issues to customers and NVIDIA management.
Requirements
- 12+ years of experience in project/program management in the automotive or embedded industry for electrical/electronic and software products.
- Strong technical background and experience working with customers in an OEM environment.
- Experience handling global projects with multinational program members.
- BS/MS or equivalent experience in Engineering or Computer Science; MBA with prior technical background is acceptable.
- 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 MLOps, data operations, cloud AI infrastructure, GPU-accelerated training, simulation pipelines, synthetic data, or large-scale data management.
Ways to stand out from the crowd
- Track record in managing complex hardware and software product development, preferably in the automotive industry.
- Prior experience in ADAS, autonomous driving, mapping or data collection projects.
- Leadership in coordinating different functional teams toward the same target.
- Strong communication, presentation, negotiation, and organizational skills.
- Able to work independently with minimum supervision.
Compensation and benefits
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. 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 is an equal opportunity employer. We do not discriminate 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.