NVIDIA is hiring an Automotive Senior System Software Engineer to build the future of SW defined Vehicles. As a member of our team you will be responsible for capturing OEM requirements, driving the software stack architecture design compliant with automotive safety and regulations. You will work with different teams on all sort of ambitious problems for autonomous driving including computer vision, deep learning, visualization & graphics rendering, object tracking, speech, multi-modal fusion, as well as sensors including Camera, RADAR, Vehicle CAN... Your work at NVIDIA will help transform the data into driving information to improve the passenger's experience and safety. You will help build the software platform, make it work flawlessly and safely. You are expected to have strong communication, organizational, and analytical skills and experience with Automotive process driven SW release. Strong system and software experience is a requirement including but not limited to ISO2626-2, ASPICE, ASIL, NCAP, FMVSS and V&V. Strong track record working with customer requirement and crafting vehicle / system level requirements and architecture documentation. Familiarity with artificial intelligence / Large Language Model is desirable.What you’ll be doing:Collect, analyze, review, approve requirements for Autonomous Vehicle SW products using industry standards and compliance regulations.Solve the real challenging system problems to introduce next generation SW driven vehicles with multi-functional teams,Contribute to a highly collaborative team working across many domains and applications.What we need to see:MS or PhD in EE/CS or closely related field (or equivalent experience)8+ year of relevant work developing and releasing software for complex systems.Proficient in programming languages in C, C++ and Python and are familiar with JIRA, JAMA, CAMEO, UML...Expert at developing system software mostly in user space but also feel no big deal in digging deep into kernel space and even low-level hardware.Proficient in system programming, threading, mutex, synchronization, communication, and parallel computing to build highly scalable and efficient applications.Strong experience driving Automotive processes such as ISO2626/2, ASPICE.Familiar with source control tools (git, Perforce, etc.)Familiarity with underlying hardware architecture for CPU/GPU, embedded systems and memory, and understand performance from bottom up.Display outstanding communication and collaboration skills, as we work as a tightly-knit team, always discussing and learning from each other and driving things forward and making fast progress to solve challenges for our customers.Ways to stand out from the crowd:Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimizationSolid working experience in kernel developing, Linux/QNX, and all too familiar with OS scheduling, virtualization.Background with Computer Vision, Machine Learning, Deep Learning or other Artificial Intelligence paradigmsExperience in Automotive Vehicle, Sensors or Robotic System BuildingPrior experience working in the following areas: Computer Vision, Machine Learning, Kernel development, Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology. 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.
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