Role at a glance
- Salary
- $200K – $322K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Have 12+ years of experience in project/program management in the Automotive or Embedded Industry
- Education
- BS/MS or equivalent experience in Engineering or Computer Science, MBA with prior technical background
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Role Summary
The Customer Program Manager leads customer-facing automotive programs for autonomous driving, robo-taxi, and AI-in-the-car initiatives with Tier-1 suppliers and car OEMs. The role manages program execution and customer relations while coordinating NVIDIA engineering, quality, logistics, sales, customers, and management teams.
What You'll Do
- Lead customer-facing automotive programs involving AI, data science, ADAS, autonomous driving, in-cabin AI, perception, simulation, or...
- Partner with customers and internal teams to define and execute data campaign initiatives
- Define program schedules, achievements, and work based on customer roadmaps and requirements
- Translate customer requirements into functional-area tasks and drive issues to closure
- Communicate issue status to customers and internal teams across different geographical zones
- Work with engineering, quality, logistics, and sales teams to resolve technical and logistic issues
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
12+ years of project/program management experience in the Automotive or Embedded Industry for electrical/electronic and software products; strong technical background and OEM customer experience; experience handling global projects with multinational program members; understanding of machine learning and data science workflows; experience supporting or leading data campaign initiatives in 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.
Required
- 12+ years of project/program management experience 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 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,...
- Experience supporting or leading data campaign initiatives for automotive, robotics, autonomy, perception, mapping, simulation, or other...
- Exposure to ML Ops, data operations, cloud AI infrastructure, GPU-accelerated training, simulation pipelines, synthetic data, or...
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
At NVIDIA, our employees are passionate about parallel and visual computing which is becoming the backbone or 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. NVIDIA’s solutions power the digital cockpits, infotainment systems and autonomous driving platforms of some of the world’s most creative and established car makers. And we've only scratched the surface of what we can accomplish when we apply our technology to it. 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.
What you'll be doing:
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
What we need to see:
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.
Ways to stand out from the crowd:
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.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.