The Automotive Vehicles Test Engineering team is searching for a creative and experienced Software 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.

　　Your primary role will be to build replay-based tests and tooling that will enable us to test and validate our self-driving technology over millions of virtual miles.

　　What you will be doing:

　　Identify, troubleshoot, and resolve system-level issues that affect the performance and reliability/reproducibility of replay tests.

　　Build and improve tools that automate the testing process, enabling a culture of test-driven development across the company.

　　Collaborate with engineering, data science, and release to monitor and enforce robust criteria for measuring and gating releases.

　　Design, develop, and maintain software infrastructure and tooling for regression monitoring and measuring the behavior and performance of autonomous driving systems.

　　Provide concrete insights from analysis to improve the quality of new features.

　　Create/Lead and maintain dashboards, reports, and data visualization tools that allow others to understand software performance.

　　Contribute to improve the overall process, quality of products

　　What we need to see:

　　BS (or equivalent experience), MS, or higher degrees in Engineering or Science field.

　　3+ years of software engineering experience, preferably in the field of simulation, autonomous systems, robotics, artificial intelligence or related areas.

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

　　Experience working with large datasets, SQL

　　Experience with source control like git, Gerrit

　　Strong design, coding, analytical, debugging, and problem-solving skills

　　Strong understanding of software testing methodologies and test-driven development.

　　Excellent problem-solving, analytical skills, and technical troubleshooting 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 with scaling the use of autonomous vehicles simulation frameworks.

　　Good at Bazel, Docker, Jenkins.

　　Knowledge of AI/ML systems, or AI-native systems

　　Having Experience in large-scale simulation for hardware or software validation of any robotics solution.

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