The Automotive Vehicles team is searching for a creative and experienced Senior Software Engineer in Test 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.
What you will be doing:
Build novel design solutions and drive execution to improve the use of end to end Simulation at scale to evaluate Autonomous Vehicle performance through test architecture and tool development.
Lead efforts to streamline and automate the development of simulation tests from all aspects of creation, run, and analysis infrastructure.
Build reliable and scalable infrastructure and operations that can make it easy to scale and interact with simulation tests.
Analyze complex technical issues and independently drive resolution.
Guide technical aspects of development of test scenario creation and usability in Simulation.
Work closely with developers and operational teams responsible for Simulation test creation to understand their needs and improve scalability and stability of the platform.
Collaborate across many teams, bridging needs of Autonomous Vehicle development and innovative end-to-end Simulation capabilities, applying your skills to understand and improve the modules that simulate the real world driving.
Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.
What we need to see:
PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Experience building testing, infrastructure and test automation.
Passion for developing software that makes others more productive.
Experience working on Advanced Driver Assistance Systems (ADAS), Autonomous Driving, Replay testing, or Simulation environments.
Substantial experience with Python/C++ in a software driven environment.
Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.
Ways to stand out from the crowd:
Experience with scaling the use of autonomous vehicles simulation frameworks.
Background with Bazel, Docker, Jenkins.
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 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.#deeplearningNVIDIA 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.
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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.”
