This role pays more than
95%
of similar roles. Most pay
$169,762–$248,375
— the shaded band above.
At the midpoint, this role pays about
$290k
versus about
$209k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Senior Radar Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles is a senior-level role focused on designing and productizing the next-generation autonomous driving perception stack. Working within the core 3D radar and multi-modal obstacle perception pipeline, you will develop technical architectures, conduct applied research on deep learning models to maximize radar point cloud data, and implement advanced 3D perception models for obstacle detection and Bird’s-Eye-View scene understanding. You will manage data strategies involving auto-labeling and cross-modal distillation while ensuring solutions meet safety and latency requirements. The role requires expertise in PyTorch, Python, C++, and CUDA to build production-grade models. Key technical focuses include transformer-based architectures, multi-sensor fusion of camera, radar, and lidar, and addressing complex radar physics such as multipath reflections and micro-doppler signatures to solve critical challenges in autonomous vehicle perception.
PyTorch
Python
C++
CUDA
Deep Learning
Computer Vision
Transformers
CNN
3D Perception
BEV
Multi-sensor Fusion
LoRA
Vision-Language Models
Active Learning
Autonomous Driving
Deep Learning
PyTorch
Python
C++
CUDA
CNN
Transformers
3D Computer Vision
BEV
Multi-sensor Fusion
LoRA
Vision-Language Models
Active Learning
Autonomous Driving
Computer Vision
PyTorch
JAX
TensorFlow
Python
C++
CUDA
Kubernetes
SLURM
Deep Learning
Reinforcement Learning
LLMs
MLOps
HPC
Distributed Training
Sim-to-Real
Natural Language Processing
Graphics
Reinforcement Learning
Python
C++
Deep Learning
GPU Clusters
Kubernetes
SLURM
High-Performance Computing
Data Pipelines
Simulation
Closed-Loop Simulation
PPO
GRPO
NuRec
Cosmos World Model
Python
C++
SQL
Machine Learning
Computer Vision
LLMs
VLMs
Agentic Workflows
Data Science
Fault Tree Analysis
Verification and Validation
Systems Engineering
Data Analysis
Statistical Analysis
Software Engineering