Carline Program Manager - Autonomous Vehicles

Overview

• We are looking for a technically adept and motivated 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.
• What You’ll Be Doing: Lead the full lifecycle of an autonomous driving carline program, from feature definition and platform planning to vehicle-specific adaptation, prototype integration, validation, and mass-production readiness.
• Drive carline adaptation activities, including vehicle platform analysis, E/E architecture alignment, sensor configuration, compute platform integration, software release planning, and vehicle-level feature enablement.
• Coordinate cross-functional engineering teams across software, perception, planning, control, system engineering, hardware, vehicle integration, testing, and validation.
• Manage project schedules, milestones, deliverables, dependencies, and risks across internal engineering teams, customer programs, and suppliers.
• Define and supervise key metrics (velocity, release cadence, validation readiness) to ensure high-quality delivery.
• Drive issue resolution across software, hardware, vehicle, validation, and customer-facing workstreams using structured, data-driven decision-making.
• Ensure clear alignment between platform-level capabilities and vehicle-specific requirements, constraints, and production milestones.
• Continuously improve execution processes to increase development speed, integration efficiency, release quality, and delivery reliability.
• What We Need To See: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Automotive Engineering, Automation, or a related field, or equivalent experience.
• 8+ years of program/project management experience in autonomous driving, ADAS, intelligent EV, automotive software, or vehicle system integration.
• Proven experience managing carline adaptation programs for AD/ADAS or intelligent driving systems.
• Strong track record leading complex cross-functional technical programs from prototype to production.
• Solid understanding of autonomous driving software stack, including perception, planning, control, localization, compute platform, sensors, and E/E architecture.
• Hands-on experience with vehicle-specific integration, software release management, validation planning, issue tracking, and production readiness.
• Ability to manage aggressive schedules, complex dependencies, customer milestones, and technical risks with transparency and urgency.
• Excellent communication, influencing, and escalation management skills across global engineering teams, customer stakeholders, suppliers, and executive levels.
• Proficient in English and capable of leading cross-region technical and program discussions.
• Strong command of modern project and engineering tools such as Jira, Confluence, Git, dashboards, defect tracking systems, or similar.
• Ways to Stand Out from the Crowd: Experience in OEM, Tier-1, autonomous driving, smart EV, or high-compute automotive platform companies.
• Direct experience adapting AD/ADAS software platforms to multiple vehicle lines or regional variants.
• Familiarity with NVIDIA DRIVE Orin / Thor, Qualcomm Ride, or similar high-performance automotive compute platforms.
• Background in E/E architecture, sensor integration, vehicle network, domain controller, or central compute integration.
• Experience with SIL/HIL, simulation, automated validation, data-driven testing, or closed-loop issue management.