The Automotive Vehicles team is searching for a creative and experienced Software Engineer to help us bring NVIDIA's autonomous vehicle solution out to the world. 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 meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant. We have deadlines, customers, and competition.
We are at the forefront of technology, transforming the future of transportation through our commitment to developing self-driving vehicles. As a senior software engineer, your primary role will be to build robust and scalable simulation infrastructure that will enable us to test and validate our self-driving technology over millions of virtual miles.
What you will be doing:
Design, develop, improve and maintain metrics and test sets that support large-scale KPIs and performance measurements for autonomous driving systems.
Collaborate across engineering, infrastructure, test engineering, and release to build and scale test solutions that address gaps in coverage and frameworks and mitigate risks to the project.
Build and drive improvements to tools that automate and scale test sets through metrics, data quantity, quality, and diversity, enabling a culture of test-driven development across the company.
Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.
Identify, troubleshoot, and resolve system-level issues that affect the performance and reliability of our KPIs and simulation frameworks.
What we need to see:
BS (or equivalent experience), MS, or PhD in Engineering or Science field.
5+ years of software engineering and data analysis experience, preferably in the field of simulation, autonomous systems, robotics, artificial intelligence or related areas.
Proficiency in Python and a deep understanding of software engineering practices.
Excellent problem-solving, analytical skills, and technical troubleshooting skills.
Strong communication and collaboration skills.
Demonstrated ability to perform in situations with high ambiguity and competing priorities.
Curiosity and a desire to “get into the weeds” of a problem
Ways to stand out from the crowd:
Background with scaling the use of autonomous vehicles simulation frameworks.
Experience with or knowledge of AI/ML systems, or a background in working with AI-native systems
Experience in large-scale simulation for hardware or software validation of any robotics solution.
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 an inclusive 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.#deeplearningSkills Required
- BS, MS, or PhD in Engineering or Science field
- 5+ years of software engineering and data analysis experience
- Proficiency in Python
- Deep understanding of software engineering practices
- Excellent problem-solving, analytical, and technical troubleshooting skills
- Strong communication and collaboration skills
- Ability to perform in high ambiguity and manage competing priorities
- Experience with simulation, autonomous systems, robotics, or AI/ML (large-scale simulation preferred)
- Experience mentoring or guiding junior engineers
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.”
