NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence.We are hiring an Automotive SOC Product Architecture Intern to join the team. You will be working on groundbreaking SOCs to accelerates the future of self-driving and in-cabin vehicle experiences. Working at the intersection of business and technology, you will join a collaborative team in defining our competitive positioning and delivering products that keep NVIDIA on the forefront of the automotive industry.What you will be doingInvestigate state of art AI and graphics workloads for automotive cockpit and self-driving.Define and design representative and repeatable test programs to serve as proxy workloads for NVIDIA SOC and IP architects. Work with internal teams to characterize their performance and efficiency on NVIDIA GPUs and accelerators.Coordinate the benchmarking and analysis of competitor devices. Build insight into competitor architectures and roadmaps and use that to inform the positioning of NVIDIA productsBuild product documentation for customers and internal teamsCollect information on competitive devices from external and internal reports. Synthesize intelligence into an updated view of competitive landscapeWhat we need to see:Currently pursuing a BS, MS, or PhD in Electrical Engineering, Computer Engineering, or similar fieldStrong background in computer architecture and machine learningExperience with with Python, DL framework (e.g. TensorFlow, PyTorch) C, C++ programming experienceWays to stand out from the crowd:Hardware architecture familiarity with experience in performance analysisHands on experience with embedded accelerators, particularly in automotive or robotics domainsFoundation in computer graphics topics, and experience in programming with accelerated rendering APIs such as OpenGL, Vulkan, DirectXUnderstanding of autonomous driving or infotainment domainsEither Machine Learning or graphics development experienceNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our Automotive team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.The hourly rate for our interns is 19 USD - 93 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis. 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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