Principal Program Manager, Carline – Autonomous Vehicles

NVIDIA•Santa Clara, CA

About The Position

We are looking for a technically adept and motivated Principal Carline Program Manager to coordinate the complete implementation of self-driving features for one of our vehicle models. You will partner with engineering, product, system, and validation teams to bring next-generation driving intelligence from concept to production. Ideal for problem-solvers who excel at integrating software, hardware, and vehicle systems in fast-paced environments. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify human creativity and intelligence. NVIDIA is often viewed as one of the most sought-after employers in the tech industry. We have some of the most forward-thinking and dedicated people working in the team. If you're creative and love challenges, we would love to hear. We believe that building self-driving vehicles will be a defining contribution of our generation. We have the vision, roadmap and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you possess an entrepreneurial spirit and thrive in autonomy, we are eager 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 240,000 USD - 379,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Requirements

BS/MS in Computer Science, Electrical/Mechanical Engineering, Automotive Engineering, or related field (or equivalent experience).
15+ years of program or project management experience within autonomous driving, ADAS, or intelligent-EV domains.
Proven success leading cross-functional technical teams and delivering sophisticated systems on aggressive timelines.
Strong understanding of autonomous driving software stack (perception, planning, control, compute, E/E architecture).
Excellent communication and influencing skills; comfortable operating across global teams and executive levels.
Solid command of modern project tools: Jira, Confluence, Git, dashboards, or similar.
Proficient in English; capable of leading cross-region discussions with customers and suppliers.

Nice To Haves

Experience in tech-driven automotive environments.
Familiarity with high-compute AD platforms (NVIDIA Orin, Qualcomm Ride).
Background in system integration, simulation, or automated validation.
Demonstrated ability to scale agile execution frameworks across engineering teams.
PMP or Scrum Master certification is a plus.

Responsibilities

Lead the full lifecycle of an autonomous driving program—from definition and prototype to mass-production readiness.
Coordinate multi-functional engineering teams (software, perception, control, hardware, testing) toward shared milestones.
Manage schedules, dependencies, and risk across internal and customer programs with transparency and urgency.
Define and supervise key metrics (velocity, release cadence, validation readiness) to ensure high-quality delivery.
Act as the single point of accountability for vehicle-line AD feature integration and customer communication.
Drive issue resolution, escalation, and data-driven decision-making across all stakeholders.
Continuously refine execution processes to increase development speed and reliability.