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NVIDIA

Carline Program Manager - Autonomous Vehicles

NVIDIA
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senior full-time Guangzhou

First indexed 7 Jul 2026

Description

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.

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.