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 a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant. We have real-world product expectations, customers, and competition.
What you will be doing:
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
What we need to see:
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.
Ways to stand out from the crowd:
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)
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or related field
- 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
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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