below marketmost similar roles pay hereabove market
This role pays more than
78%
of similar roles. Most pay
$169,050–$235,750
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$202k
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.
As a Senior Software Engineer, L4 - Autonomous Vehicles, you will join the Autonomous Driving division to build the architecture for next-generation self-driving vehicle technology. You will compose systems for Prediction, Decision, Planning, and Control while developing robust system-level safety and fallback strategies. Your daily work involves developing World Model-based planning and reasoning models, managing end-to-end data-driven AV pipelines, and integrating innovative robotics research into production platforms. You will handle E2E AV software integration from perception through control, including interface management and performance tuning. The role requires expertise in large-scale model inference architecture, AI foundation models, and DVLA/VA driving models. Key technical competencies include system architecture from zero to scale, robotics, embodied AI, and knowledge of CUDA.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Compose and build the architecture for next-generation self-driving vehicle technology.
Develop Prediction, Decision, Planning, and Control architectures for autonomous systems.
Build robust system-level safety and fallback strategies using classical safety stacks.
Develop end-to-end data-driven AV pipelines and DVLA/VA driving models.
Create a World Model-based planning and reasoning model for autonomous vehicles.
Manage large-scale model inference architecture and integrate innovative robotics research.
Perform E2E AV software integration including perception, control, interface management, and performance tuning.
What we're looking for
BS with 8+ years, MS with 6+ years, or PhD with 4+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Production experience in autonomous driving systems.
Experience working on AI foundation models or large-scale ML systems.
C++
Robotics
AI
Machine Learning
autonomous vehicle s
Trajectory Planning
Motion Planning
Real-time Systems
Simulation
Systems Integration
Performance Optimization
Python
C++
SQL
Machine Learning
Computer Vision
deeplearning
Data Science
LLMs
VLMs
Agentic Workflows
Fault Tree Analysis
Statistical Analysis
Verification and Validation
Data Analysis
Systems Engineering
C++
C
CUDA
GPGPU
ARM NEON
MISRA
Computer Architecture
Real-Time Operating Systems
Performance Analysis
Benchmarking
Deep Learning
Computer Vision
Robotics
Linear Algebra
Numerical Methods
Python
JavaScript
TypeScript
Machine Learning
Computer Vision
3D Geometry
CUDA
GPGPU
gRPC
Flat Buffers
Protocol Buffers
LLM
Embedded Software
Open Street Maps
Claude CLI
Cursor
Autonomous Driving
Machine Learning
Foundation Models
Robotics
Embodied AI
Generative AI
CUDA
GPU Computing
VLA Frameworks
Planning
Control
Perception
Accelerated Computing
Production Systems