below marketmost similar roles pay hereabove market
This role pays more than
66%
of similar roles. Most pay
$190,000–$253,812
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$222k
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior Algorithm Engineer, Map-Perception Fusion joins the DRIVE Road Structure, Online Mapping, and Context Fusion team to develop advanced 3D world models for autonomous vehicles. The role involves integrating state-of-the-art perception and mapping technologies to support navigation in complex roads and intersections. Key responsibilities include building real-time 3D models, developing enriched bird’s-eye-view models for mapless driving, and creating static obstacle and occupancy grids with occlusion masks. The position requires expertise in computer science or engineering, software development, and robotics. Candidates should possess skills in 3D geometry, computer vision, sensor calibration, and state estimation algorithms like Kalman or particle filters. The work focuses on solving the technical challenge of fusing sensor data with external sources to improve scenario understanding and vehicle safety in diverse driving environments.
Develop and refine systems that integrate perception and mapping technologies for diverse driving environments.
Create dynamic 3D world models by combining sensor data and external sources for navigation.
Build enriched bird’s-eye-view models to support mapless driving in complex urban settings.
Construct static obstacle and occupancy grids to improve environmental understanding.
Generate occlusion masks to enhance the vehicle's perception of its surroundings.
Write high-quality code following automotive industry best practices for safety and reliability.
What we're looking for
PhD with 1+ year, MS with 4+ years, or BS with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Strong relevant software development experience, ideally with exposure to robotics, autonomous vehicles, or related fields.
Strong problem-solving and analytical skills.
Good communication and teamwork abilities, especially in a diverse and global environment.
Experience with embedded systems or automotive platforms (preferred).
Familiarity with 3D geometry, computer vision, sensor calibration, or state estimation algorithms (preferred).
Experience working on real-time computer vision systems (preferred).
Skills in designing APIs or software frameworks (preferred).
C++
CUDA
GPGPU
DNN
Sensor Fusion
Multi-view Geometry
Kalman Filters
Particle Filters
Computer Vision
Embedded Software
Real-time Systems
3D Geometry
State Estimation
Robotics
AV
C++
Python
Deep Learning
CUDA
NVIDIA DRIVE
QNX
RTOS
Sensor Fusion
Perception
ISO 26262
ISO 21448
ASPICE
Simulation
Data Flywheel
Lidar
Radar
Ultrasonics
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