Senior Software Systems Engineer – Autonomous Vehicles

NVIDIA

Senior Software Systems Engineer developing next-gen autonomous vehicle solutions at NVIDIA. Collaborating with multi-functional teams across vehicle subsystems and driving system verification activities.

Posted 5/8/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop, evaluate, and build architectures for SAE Level 2 to Level 4 driver assistance and self-driving vehicle technologies
Characterize autonomous vehicle interactions relative to vehicle requirements to drive data collection for system training and verification
Drive autonomous vehicle system verification activities, including architecture and design verification, test strategy development working with the System Integration & Verification Test Leads, and reviewing and prioritizing test results
Lead and communicate data analysis, working with product and engineering teams to drive design decisions relative to requirements and system behavioral needs
Develop methods to analyze and compare the impact of ODDs on relevant performance metrics, translating data and analysis into impactful recommendations

Requirements

What you’ll need

BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related field, or equivalent experience.
5+ years of proven industry experience
Strong analytics and architectural background in a development and production setting
Experience in systems engineering, robotics development, or systems integration and test
Strong leadership and interpersonal skills, with the ability to drive alignment between product development, engineering, and test teams.
Experience with complex hardware and software systems
Experience with Model-Based Systems Engineering methods and tools, especially with Magic Cyber Systems Engineer / Cameo
Experience with software and/or tool development with a focus on modelling, analysis, utility languages such as Python and the use of AI tooling to enhance requirement and test coverage analysis.
Success applying the systems V-Model to sophisticated engineering projects, ideally advanced driver assistance or autonomous vehicle systems and associated standards (e.g. ISO 26262)
Deep technical background in at least one focus area of robotic systems development (e.g. sensing, perception, motion control)

Benefits

Comp & perks

equity
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Hard Skills & Tools

systems engineeringrobotics developmentsystems integrationtest strategy developmentdata analysisModel-Based Systems EngineeringPythonAI toolingV-Modelsensing

Soft Skills

leadershipinterpersonal skillscommunicationanalyticsalignment driving