Senior Software Engineer - Autonomous Vehicles

NVIDIA AI; Santa Clara (CA); On-site; USD 250,000 - 350,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI is seeking a senior engineer to design and integrate planning frameworks connecting AI driving models with deterministic safety systems and vehicle dynamics.

You will develop runtime arbitration and safety enforcement to ensure AI-generated trajectories are physically feasible and deployable on automotive hardware. This role demands deep C++ expertise and a strong background in autonomous systems.

Qualifications

• Degree in Computer Science, Robotics, or related field.
• 12+ years of industry experience in autonomous systems or safety-critical software.
• Strong C++ development skills and deep understanding of motion planning and ML systems.

Responsibilities

• Design and integrate planning frameworks bridging end-to-end AI driving models with deterministic safety systems and vehicle dynamics.
• Develop runtime arbitration and safety enforcement mechanisms to ensure AI-generated trajectories are physically feasible.
• Deploy AI planning components on automotive hardware and collaborate with cross-functional teams.

Skills

C++

Autonomous Vehicle Planning

Trajectory Generation

Motion Planning

Machine Learning

Robotics Systems

Real-time Systems

Software Architecture

Embedded Deployment

Safety-critical Software

Runtime Validation

Vehicle Dynamics

Job description

Design and integrate planning frameworks that bridge end-to-end AI driving models with deterministic safety systems and vehicle dynamics. Develop runtime arbitration and safety enforcement mechanisms to ensure AI-generated trajectories are physically feasible and deployable on automotive hardware.

Requirements

Requires a degree in Computer Science, Robotics, or a related field with over 12 years of industry experience in autonomous systems or safety-critical software. Must possess strong C++ development skills and a deep understanding of motion planning and machine learning systems.

Key Skills

• C++
• Autonomous Vehicle Planning
• Trajectory Generation
• Motion Planning
• Machine Learning
• Robotics Systems
• Real-time Systems
• Systems Integration
• Performance Optimization
• Software Architecture
• Vehicle Dynamics
• Safety-critical Software
• Embedded Deployment
• AI Infrastructure
• Runtime Validation
• Collision Avoidance

Benefits

• Equity
• Benefits