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This role pays more than
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$193,935–$254,750
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At the midpoint, this role pays about
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versus about
$224k
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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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
JOB TITLE: Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
As a senior individual contributor, the Principal Perception Engineer will lead the design and productization of the next-generation autonomous driving perception stack. You will own the technical vision, architecture, and roadmap for 3D obstacle perception, driving cross-functional execution and mentoring other engineers. Daily responsibilities include developing production-grade deep learning models for obstacle detection and tracking using multi-camera inputs and multi-sensor fusion from camera, radar, and lidar. You will utilize PyTorch, Python, and C++ to implement CNN, transformer-based, and vision-language techniques. Key tasks involve large-scale pretraining, distillation, and parameter-efficient fine-tuning like LoRA. You will also manage data strategies, including active learning and auto-labeling, to solve complex 3D computer vision problems and ensure software robustness for real-time autonomous vehicle deployment.
Own the technical vision, architecture, and roadmap for 3D obstacle perception to support end-to-end autonomous driving.
Design and develop advanced 3D perception models using multi-camera inputs and multi-sensor fusion for obstacle detection and tracking.
Lead the development of production-grade deep learning models by defining objectives, selecting architectures, and establishing training best practices.
Define and drive KPI frameworks to quantify perception performance and analyze large-scale datasets to identify and fix failure modes.
Lead the data strategy by specifying labeling requirements and prioritizing data collection for model-assisted workflows like active learning.
Partner with safety and systems teams to ensure perception solutions meet strict requirements for latency, resource usage, and software robustness.
Provide technical leadership and mentorship to other engineers while influencing design and implementation across the broader autonomy teams.
What we're looking for
15+ years of hands-on experience developing deep learning–based perception or closely related systems for complex real-world problems.
Proficiency in frameworks such as PyTorch with a track record of taking models from prototype to production.
Demonstrated technical leadership as a senior or principal-level individual contributor owning features or subsystems end-to-end.
Proven experience in data-driven development, including collaboration with data, labeling, and ground-truth teams on data strategy.
Strong programming skills in Python and/or C++ for building reliable, high-performance, production-quality software.
BS/MS/PhD in Computer Science, Electrical Engineering, or related fields (or equivalent experience).
Proven track record leading the design and deployment of perception solutions for autonomous driving or robotics using camera-based deep learning at scale (preferred).
Hands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms (preferred).
Remote (Santa Clara, CA)+425 days ago
$184,000–$287,500
PyTorch
Python
C++
CUDA
Deep Learning
Computer Vision
Transformers
CNN
3D Perception
BEV
Multi-sensor Fusion
LoRA
Vision-Language Models
Active Learning
Model-in-the-loop
Data Strategy
Remote (Santa Clara, CA)25 days ago
$224,000–$356,500
Deep Learning
PyTorch
Python
C++
Radar Signal Processing
Multi-Sensor Fusion
Transformers
CUDA
BEV
LoRA
Active Learning
FMCW
Beamforming
CFAR
Micro-Doppler
Embedded Optimization
DNN
Data Strategy
Remote (Santa Clara, CA)+339 days ago
$184,000–$287,500
Python
C++
PyTorch
CUDA
Transformer
sensor-fusion
3D Perception
BEV
VLM
Distributed Training
Quantization
point-cloud
Voxel
Semantic Segmentation
Motion Prediction
Simulation