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NVIDIA

Director, Carline Program Management - Autonomous Vehicles

NVIDIA
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executive full-time Santa Clara, CA

First indexed 2 Jul 2026

Description

We are looking for a Director of Carline Program Management to join our NVIDIA DRIVE AV team to define and develop products to grow our Autonomous Vehicles business.

As a Carline PM Director, you will build and lead a team to mold NVIDIA innovative autonomous vehicles' technology into AV products.

Responsibilities:

  • Lead the full lifecycle of an autonomous driving carline program, specialized in L4 Robotaxi productization, from feature definition and platform planning to vehicle-specific adaptation, prototype integration, validation, and mass-production readiness.
  • Set the execution plan for the carline PM team and coordinate with relevant teams, maximizing your deep understanding of customer needs, knowledge of the AV industry, and out-of-the-box thinking.
  • Lead a team to drive all aspects of product planning including data collection, ML ops, Data ops, in-car test, KPIs iteration, and customer management.
  • Drive issue resolution across software, hardware, vehicle, validation, and customer-facing work streams using structured, data-driven decision-making.
  • Continuously improve execution processes to increase development speed, integration efficiency, release quality, and delivery reliability.
  • Communicate continuously with customers, understanding their evolving needs to ensure product competitiveness and translate that into product roadmap to drive execution with cross-functional teams.

Requirements:

  • BS/MS (or equivalent experience) in engineering with 15+ overall years of experience in both software and hardware platforms.
  • 8+ years of leadership experience.
  • Self-starter with a 'can-do' attitude in a multifaceted environment.
  • Experience working in a software development environment.
  • Track record of leading the launch of technically complex products to customers, especially scaled L4 Robotaxi programs.
  • Strong technical leadership and communication skills, with the ability to drive alignment across large organizations and with customers.

Preferred Qualifications:

  • Background in autonomous vehicles, Driver Assist technology, and/or machine learning.
  • Exposure leading development of ADAS functions/products.
  • Experience with customer management & interaction.

You will also be eligible for equity and benefits.