The Automotive Vehicles team is searching for a creative and experienced Systems Engineers to help us bring NVIDIA's autonomous vehicle solution out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. 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 leading the technology revolution, shaping the future of transportation through our commitment to developing self-driving vehicles! As a data analyst/engineer, your primary role will be to construct robust and scalable data infrastructure that will enable us to track, analyze and validate our self-driving technology using billions of data points.What you will be doing:Design, develop, and maintain data infrastructure that supports large-scale, complex analysis of autonomous driving systems.Collaborate across engineering, data science, testing, and release teams to build and scale analytical solutions that address gaps in data coverage and frameworks and reduce risks to the project.Develop and enhance tools that automate the data analysis and KPI reporting process, fostering a culture of data-driven decision making across the company.Create dashboards and reports using data visualization toolsContribute to improve the overall process, quality of productsIdentify, troubleshoot, and resolve system-level issues that affect the performance and reliability of our data infrastructure.What we need to see:BS (or equivalent experience), MS, or PhD in Engineering, Data Science, Computer Science, or related field.6+ years of software, data engineering, or analysis experience, preferably in the field of simulation, autonomous systems, robotics, artificial intelligence or related areas.Proficiency in SQL, Python or similar high-level data languages.Experience with distributed computing, big data technologies, and cloud platforms.Strong understanding of data modeling, ETL processes, and data visualization techniques.Excellent problem-solving, analytical skills, and technical troubleshooting abilities.Strong communication and collaboration skills.Demonstrated ability to perform in situations with high ambiguity and competing priorities.Curiosity and a desire to “dive deep” into data to derive insights.Ways to stand out from the crowd:Background with designing KPIs and dashboards for complex systems such roboticsExperience with or knowledge of AI/ML systems, or a background in working with AI-native systems.Experience in large-scale data engineering for hardware or software validation of any robotics solution.The base salary range is $176,000 - $333,500. 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.#deeplearning
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