As a Senior Software Engineer at NVIDIA, you will join a cutting-edge team developing next-generation autonomous driving systems, focusing on integrating end-to-end AI models with deterministic planning and safety-critical autonomy frameworks. Your daily tasks include designing scalable architectures for large-scale learned driving models that adhere to real-time execution constraints, ensuring physical feasibility and safety in automotive hardware platforms. You’ll work closely with cross-functional teams to productize these models into deployable systems while addressing complex edge cases involving uncertainty and model failure modes. Essential skills include strong C++ development experience, a deep understanding of autonomous vehicle planning, and expertise in deploying machine learning models into real-time embedded systems. This role demands proficiency in AI infrastructure, safety-critical software systems, and the ability to bridge offline AI capabilities with production deployment constraints.
Skills
C++
Python
ROS
CUDA
TensorFlow
PyTorch
Docker
Kubernetes
AWS
CI/CD
PostgreSQL
SQLite
Prometheus
Grafana
Git
Linux
Autonomous Vehicle Planning
Motion Planning
Rapid Prototyping
Real-Time Systems
What you'll do
Design and integrate planning frameworks combining learned driving models with classical trajectory planning.
Build scalable architecture for large AI driving models to operate within automotive compute limitations.
Ensure AI-generated behaviors meet vehicle dynamics, collision avoidance, and passenger comfort requirements in real time.
Define and implement safety-oriented planning capabilities including trajectory validation and fallback handling strategies.
What we're looking for
12+ years of industry experience in autonomous systems or safety-critical software.
BS/MS/PhD in Computer Science, Robotics, Electrical Engineering, AI/ML, or related field.
Strong C++ development skills with a focus on production-quality systems.
Expertise in autonomous vehicle planning and trajectory generation.
Experience deploying machine learning models into real-time embedded systems.
Deep understanding of runtime safety validation and fallback systems.
Ability to bridge offline AI model capability with real-world deployment constraints.
Market check
Salary context
This
$224,000–$356,500
range sits above
98%
of similar postings on FindRole.
Peer median band
$134,800–$234,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$143,625–$226,606
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Us, Ca, Santa Clara, US66 days ago
$184,000–$287,500
C++
CUDA
ROS
Radar
Lidar
Camera
Ultrasonic sensors
Data association algorithms
Sensor fusion
Multi-view geometry
Occupancy grid tracking
CI/CD
Git
Linux