Senior Software Development Engineer, Test - Autonomous Vehicles

NVIDIA•Santa Clara, MI

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.