NVIDIA
Senior Software Development Engineer, Test - Autonomous Vehicles
NVIDIA, Santa Clara, California, us, 95053
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. 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 over millions of virtual miles.What You Will Be Doing
Design, develop, and maintain software infrastructure and tooling for regression monitoring and measuring the behavior and performance of autonomous driving systems.Collaborate across engineering, data science, test engineering, and release to build and improve tools that automate the testing process, enabling a culture of test-driven development across the company.Create dashboards and reports using data visualization tools.Contribute to improve the overall process, quality of products.Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.Identify, troubleshoot, and resolve system-level issues that affect the performance and reliability of our simulation infrastructure.What We Need To See
BS (or equivalent experience), MS, or PhD in Engineering or Science field.5+ years of software engineering and data analysis 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
Background with scaling the use of autonomous vehicles simulation frameworks.Experience with Bazel, Docker, Jenkins.Experience with or knowledge of AI/ML systems, or a background in working with AI-native systems.Experience in large-scale simulation for hardware or software validation of any robotics solution.The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.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.
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Design, develop, and maintain software infrastructure and tooling for regression monitoring and measuring the behavior and performance of autonomous driving systems.Collaborate across engineering, data science, test engineering, and release to build and improve tools that automate the testing process, enabling a culture of test-driven development across the company.Create dashboards and reports using data visualization tools.Contribute to improve the overall process, quality of products.Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.Identify, troubleshoot, and resolve system-level issues that affect the performance and reliability of our simulation infrastructure.What We Need To See
BS (or equivalent experience), MS, or PhD in Engineering or Science field.5+ years of software engineering and data analysis 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
Background with scaling the use of autonomous vehicles simulation frameworks.Experience with Bazel, Docker, Jenkins.Experience with or knowledge of AI/ML systems, or a background in working with AI-native systems.Experience in large-scale simulation for hardware or software validation of any robotics solution.The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.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.
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