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NVIDIA

Director, Carline Program Management - Autonomous Vehicles

NVIDIA is hiring a Director, Carline Program Management - Autonomous Vehicles in Santa Clara, United States. It pays $272k-$426k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions MLOps, Data Ops and program management among its tools and skills.
  • Level classes it as an executive role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Lead autonomous driving carline programs and productization for L4 robotaxi initiatives, overseeing cross-functional engineering and ML/data ops teams.

mlopsdata-ops
ml-opsprogram-managementautonomous-vehiclesrobotaxiproductization

Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.


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. 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.


What you will be doing:

  • 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.
  • Setting the execution plan for the carline PM team as well as coordinating for rest of 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.
     

What we need to see:

  • BS/MS (or equivalent experience) in engineering with 15+ overall years of experience in both software and hardware platforms.
  • 8+ years of leadership experience.
  • You are a 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


Ways to stand out from the crowd:

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

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we rate this

Director, Carline Program Management - Autonomous Vehicles at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsProgram ManagementAutonomous VehiclesRobotaxiProductizationMLOpsData Ops

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Tell me about a project where program management was part of your work. What did you do?
  3. Tell me about a project where autonomous vehicles was part of your work. What did you do?
  4. Tell me about a project where robotaxi was part of your work. What did you do?
  5. Tell me about a project where productization was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: ML Ops, Program Management, Autonomous Vehicles, Robotaxi, and Productization. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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