Director, Perception - Autonomous Vehicles

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $320,000–$488,750 / yr
Employment: Full-time
Posted: 23 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $250k

This role $404k

$156k most similar roles pay here $524k

This role pays more than 99% of similar roles. Most pay $214,000–$285,833 — the shaded band above. At the midpoint, this role pays about $404k versus about $250k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1150 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 912 roles with salary data.

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At a glance

TL;DR · Director, Perception - Autonomous Vehicles

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The Director, Perception - Autonomous Vehicles leads a high-performing organization of engineering managers, applied researchers, and software engineers to advance autonomous vehicle perception. This leader drives the development of state-of-the-art deep learning models for multi-sensor fusion involving camera, LiDAR, and radar data to create real-time 3D world models. Responsibilities include overseeing the machine learning lifecycle from data mining and synthetic generation to deployment on NVIDIA DRIVE platforms while ensuring compliance with ISO 26262 safety standards. The role requires expertise in Python, C++, PyTorch, JAX, or TensorFlow, alongside deep knowledge of Transformers, CNNs, Foundation Models, and Occupancy Networks. This position addresses the technical challenge of building robust perception stacks for autonomous vehicles by navigating complex environments through advanced network architectures and hardware-software co-design to deliver production-grade, safety-critical software on edge computing platforms.

Skills

Deep Learning Computer Vision Transformers Python C++ PyTorch JAX TensorFlow NVIDIA DRIVE Multi-sensor Fusion 3D World Reconstruction Active Learning Synthetic Data Generation ISO 26262 CNNs Foundation Models Sim-to-Real

What you'll do

Manage and scale a high-performing organization of engineering managers, researchers, and software engineers.
Guide the strategic design and execution of modern network architectures for multi-sensor fusion and 3D world reconstruction.
Oversee the full machine learning lifecycle including data mining, synthetic data generation, and model training.
Deploy production-grade, safety-critical machine learning models onto NVIDIA DRIVE platforms.
Partner with cross-functional teams to ensure seamless integration of the perception stack into the overall vehicle system.
Ensure all algorithms and production code comply with strict automotive quality and safety standards like ISO 26262.
Translate complex technical uncertainties into clear, actionable strategies for team members and executive leadership.

What we're looking for

Ph.D. or master's degree in computer science, Robotics, Artificial Intelligence, visual computing, or a related field (or equivalent experience).
Industry experience in deep learning, computer vision, or autonomous robotics.
5+ years in a senior leadership role managing large teams or multiple layers of management.
Expertise in modern network architectures including Transformers, CNNs, and Foundation Models for multi-sensor fusion.
Experience deploying production-grade, safety-critical machine learning models to edge/embedded computing platforms.
Proficiency in Python, C++, and deep learning frameworks such as PyTorch, JAX, or TensorFlow.
Success in shipping autonomous vehicle software to mass-production (preferred).
Recognized presence in the AI/CV community through top-tier publications or significant open-source contributions (preferred).

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