# Director, Engineering - Autonomous Vehicles

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: executive
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Director--Engineering---Autonomous-Vehicles_JR2023529?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0fa04c23-126

## Description

NVIDIA is seeking a Director-level technical leader to define the architecture for its next-generation autonomous driving stack. The successful candidate will lead a high-performing organization of engineers and technical leaders working on Prediction, Decision Making, Planning, Control, and Safety.

The Director will set the technical vision and architecture for NVIDIA's next-generation autonomous driving stack, spanning both classical and learning-based approaches. They will build and lead a team, define how classical safety-critical autonomy and learned driving systems work together, and drive the architecture for robust system-level safety.

Key responsibilities include:

- Setting the technical vision and architecture for NVIDIA's next-generation autonomous driving stack

- Building and leading a high-performing organization of engineers and technical leaders

- Defining how classical safety-critical autonomy and learned driving systems work together

- Driving the architecture for robust system-level safety, redundancy, fallback, and degraded-mode strategies

- Leading the development and productionization of end-to-end, data-driven autonomous driving pipelines

- Advancing large-scale vision-language-action (VLA) / driving foundation models and their integration into production autonomous vehicles

- Partnering closely with research teams to translate breakthroughs in robotics, embodied AI, foundation models, and generative AI into production self-driving technology

The ideal candidate will have:

- PhD with 12+ years, MS with 10+ years, or BS (or equivalent experience) with 15+ overall years of relevant industry experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related technical field

- 8+ years of experience leading a team

- Significant technical leadership experience, including leading senior engineers, architects, and/or engineering managers working on sophisticated production systems

- Extensive knowledge of traditional driverless vehicle system designs and modern learning-based autonomy

- Experience driving end-to-end self-driving system builds and understanding interactions involving perception, planning, and control

- Demonstrated ability to attract, recruit, mentor, and grow exceptional engineering talent

Preferred qualifications include experience building hybrid AV architectures, VLA frameworks, and large-scale multimodal systems.

## Skills

### Required
- Computer Science
- Computer Engineering
- Robotics
- Machine Learning
- Autonomous Vehicles
- Leadership
- Technical Vision
- Architecture
- Classical Autonomy
- Learning-Based Autonomy
- End-to-End Driving
- Large-Scale Pre-Trained Models
- Embodied AI

### Nice to have
- Hybrid AV Architectures
- VLA Frameworks
- Global Representations
- Foundational Architectures
- Large-Scale Multimodal Systems
- Generative Approaches
- CUDA
- GPU Computing
- Accelerated AI Infrastructure

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Director--Engineering---Autonomous-Vehicles_JR2023529?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)