Senior Software Systems Engineer - Autonomous Vehicles

at Nvidia

📍 Santa Clara, United States

USD 152,000-287,500 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Python @ 4 Leadership @ 7 Data Analysis @ 4 AI @ 4 Robotics @ 4

Details

The Automotive Vehicles team is searching for a creative and experienced Software Systems Engineer to help bring NVIDIA's next generation autonomous vehicle solutions to market. You will participate in efforts to develop and productize solutions for self-driving cars, working with multi-functional engineering teams across vehicle subsystems to integrate their work into the AV software platform while meeting NVIDIA and automotive standards.

Responsibilities

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 System Integration & Verification Test Leads), and reviewing/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 (Operational Design Domains) on relevant performance metrics, translating data and analysis into recommendations.

Requirements

BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or a related field, or equivalent experience.
5+ years of proven industry experience.
Strong analytics and architectural background in development and production settings.
Experience in systems engineering, robotics development, or systems integration and test.
Strong leadership and interpersonal skills; ability to drive alignment between product development, engineering, and test teams.

Ways to Stand Out

Experience with complex hardware and software systems.
Experience with Model-Based Systems Engineering (MBSE) methods and tools, especially Magic Cyber Systems Engineer / Cameo.
Experience with software/tool development focused on modeling and analysis, utility languages such as Python, and use of AI tooling to enhance requirement and test coverage analysis.
Experience 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).

Compensation & Benefits

Base salary ranges by level: Level 3: 152,000 USD - 241,500 USD; Level 4: 184,000 USD - 287,500 USD.
Eligible for equity and benefits.

Additional Information

Applications accepted at least until May 10, 2026.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer and fosters a diverse work environment.