Senior Software Development Engineer, Test - Autonomous Vehicles

NVIDIA is at the forefront of technology, transforming the future of transportation through their commitment to developing self-driving vehicles. They are seeking a Senior Software Test Engineer to build robust infrastructure and automation for testing and validating their autonomous vehicle technology across various platforms.

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

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
• 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