The Autonomous Vehicles Platform team is searching for engineers to develop and bring NVIDIA's automotive platform 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. Work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. We have customers and competition.NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify human creativity and intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous, and love a challenge, we would love to hear.What you'll be doing:Design and implement Automotive Vehicles software platforms, including application design, kernel modifications/extensions, driver implementation/enhancement, system integration, performance optimization, stress/stability & tools developmentIntegrate the full-stack software including system software, AV application, DNN, and kernel together to build the start-of-art Automotive Vehicle platformsDrive the reliability of the software platform, which includes Time sync, Vehicle Network, RADAR, LiDAR, Camera sensor processing, and fusionTriage the Automotive Vehicle Fleet issues and debug with the global teamWork towards the best user experience, internally and externallyAnalyze complex technical issues and independently drive resolution across multiple teamsWork in an environment that involves Linux & QNX RTOSWhat we need to see:BS, MS in CS/CE/EE (or equivalent experience) with 5+ years in a related fieldDemonstrated proficiency in C/C++ development, experience in Python programmingExperience in software architecture designStrong Linux kernel, application-level system software experienceStrong debugging skills from application to kernel levelAbility and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environmentSelf-motivated and a good teammateWays to stand out from the crowd:Prior experience in the Automotive fieldBackground in QNX RTOS and debug toolsWorked with CAN and tools, RADAR, LiDAR
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