Senior Software Development Engineer, Test - Autonomous Vehicles

The Automotive Vehicles Test Engineering team is searching for a creative and experienced Senior Software Test Engineer to help us bring NVIDIA's autonomous vehicle solution out to the world. 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 infrastructure, automation and tooling that will enable us to test and validate our self-driving technology across different platforms over millions of virtual miles.

What you will be doing:

• Define and drive the technical strategy for validation of new software, hardware and platform configurations, strategically managing and optimizing infrastructure utilization.

• Architect and implement production-ready automation frameworks and testing pipelines, ensuring they are highly scalable, maintainable, and adhere to industry best practices and software standards.

• Collaborate with engineering, data science, release and infrastructure to monitor and enforce robust criteria and streamline technical processes and tools for measuring and gating releases.

• Design, develop, and maintain software infrastructure and tooling for operations focussed engineering systems

• Develop, own, and maintain comprehensive dashboards, reports, and data visualization tools to provide clear, actionable insights into software performance and quality across the platform

• Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.

What we need to see:

• BS (or equivalent experience), MS, or PhD in Engineering or Science field.

• 8+ years of experience in software engineering, including a minimum of 3 years in a senior and/or management role. 

• Proficiency in Python (highly preferred), C++ or similar high-level programming languages.

• Proven track record of managing complex HW/ SW integration projects

• Deep familiarity with CI/ CD (Jenkins, Gitlab) and build systems such as bazel, working with large datasets, SQL, source control like git, Gerrit

• Experience with Strong design, coding, analytical, debugging, and problem-solving skills

• Strong communication and collaboration skills.

• Demonstrated ability to perform in situations with high ambiguity and competing priorities.

Ways to stand out from the crowd:

• Experience within simulation, autonomous systems, robotics, or artificial intelligence domains

• Experience with scaling the use of autonomous vehicles simulation frameworks.

• Direct experience with or a strong foundational knowledge of AI/ML engineering pipelines and developing test strategies for AI-native systems.

• Expertise in leveraging large-scale, high-fidelity simulation environments for comprehensive hardware and software validation of robotics systems.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 22, 2026.

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.

#deeplearning