Senior Program Manager, Carline – Autonomous Vehicles

NVIDIA•Us, CA

About The Position

We are looking for a technically adept and motivated Senior 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.

Requirements

BS/MS in Computer Science, Electrical/Mechanical Engineering, Automotive Engineering, or related field (or equivalent experience).
8+ 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.