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NVIDIA

Designs the chips and software that power AI

Director Carline Program Management - Autonomous Vehicles

Program ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in engineering, or equivalent experience, and 15+ years of overall experience across software and hardware platforms.
  • Eight or more years of leadership experience.
  • Experience working in a software development environment.
  • A track record of leading the launch of technically complex products to customers, especially scaled Level 4 Robotaxi programs.
  • Strong technical leadership and communication skills, with the ability to drive alignment across large organizations and with customers.

Responsibilities

  • Lead the full lifecycle of an autonomous driving carline program, specializing in Level 4 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 program management team and coordinate with relevant teams, applying understanding of customer needs and the autonomous vehicle industry.
  • Lead a team in product planning across data collection, machine learning operations, data operations, in-car testing, key performance indicator 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 with customers to understand evolving needs, translate them into a product roadmap, and drive execution with cross-functional teams.

Desired Qualifications

  • Background in autonomous vehicles, driver assistance technology, and/or machine learning.
  • Exposure to leading development of advanced driver-assistance systems functions or products.
  • Experience with customer management and interaction.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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