NVIDIA is seeking a Principal Deep Learning Engineer to join its Autonomous Driving Perception team, where you will lead the development of advanced deep learning models that enable vehicles to perceive their environment with unprecedented accuracy. Your responsibilities include architecting and innovating state-of-the-art systems for 3D obstacle detection, dense occupancy prediction, semantic segmentation, and multi-object tracking, while ensuring these technologies are robustly deployed in production environments. You will also define data strategies, mentor senior engineers, and influence cross-functional teams to set the technical roadmap for next-generation perception architectures. Ideal candidates have a Ph.D. or MS in Computer Science, Robotics, Machine Learning, or related fields, with extensive experience in deep learning for computer vision, particularly in object detection, occupancy networks, and temporal tracking. Strong programming skills in Python and C++, along with expertise in frameworks like PyTorch, are essential, as is prior industry experience in autonomous driving or robotics, including model optimization and deployment on embedded platforms using NVIDIA TensorRT.
Skills
Python
PyTorch
C++
TensorRT
NVIDIA DRIVE
Deep Learning
Computer Vision
Object Detection
Semantic Segmentation
Temporal Tracking
Data Labeling
Automated Pipelines
Model Optimization
Multi-Modal Perception Systems
CVPR
ICCV
ECCV
NeurIPS
What you'll do
Develop and deploy advanced deep learning models for autonomous vehicle perception tasks.
Ensure robust productization of perception models to meet high safety standards.
Identify and solve complex corner cases in urban and highway driving environments.
Define data labeling guidelines and quality control metrics for sophisticated tasks.
Mentor senior engineers and influence cross-functional teams on technical direction.
What we're looking for
Ph.D. or MS in Computer Science, Robotics, Machine Learning, Computer Vision, or related field.
Over 12 years of experience in deep learning for computer vision and software engineering.
Proven track record leading technical contributions to commercial deep learning products.
Expertise in object detection, occupancy networks, semantic/instance segmentation, and temporal tracking.
Strong data intuition with experience managing large datasets and defining labeling taxonomies.
Programming skills in Python and C++, with experience using PyTorch.
Market check
Salary context
This
$272,000–$431,250
range sits above
98%
of similar postings on FindRole.
Peer median band
$184,000–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$183,650–$248,721
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.