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NVIDIA

Senior Software Engineer, Test - Autonomous Vehicles

Posted 3 Days Ago
Be an Early Applicant
In-Office or Remote
3 Locations
152K-288K Annually
Senior level
In-Office or Remote
3 Locations
152K-288K Annually
Senior level
Build and scale simulation infrastructure and test frameworks to validate autonomous driving systems at large scale. Design metrics and test sets for KPIs, automate and improve test tooling and data quality, collaborate across teams, troubleshoot system-level issues, and mentor junior engineers.
The summary above was generated by AI

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 6, 2026.

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.

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