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 Development Engineer in Test to build robust infrastructure, automation, and tooling for testing and validating their autonomous vehicle technology across various platforms. The role involves defining technical strategies, architecting automation frameworks, and mentoring junior engineers.

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:

• 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; 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