System Software Engineer – 自动驾驶

The Autonomous Vehicles System Integration team is searching for engineers to develop and bring NVIDIA's Autonomous Vehicles systems 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 Vehicles DRIVE SW system, while achieving or exceeding all meaningful NVIDIA and Autonomous Vehicles 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:
• Integrate the full-stack software including system software, AV application, DNN, and kernel together to build the start-of-art Autonomous Vehicles systems. Deliver reliable Autonomous Vehicles systems solutions for the future transportation
• Design and implement Autonomous Vehicles software platforms, including system integration, application design, kernel modifications/extensions, driver implementation/enhancement, performance/power optimization, stress/stability/compliance test
• Drive the reliability of the whole software system which includes but is not limit to Time sync, Vehicle Network, RADAR, LiDAR, Camera sensor processing, and fusion
• Work towards the best user experience, internally and externally
• Analyze complex technical issues and independently drive resolution across multiple teams
• Work in an environment that involves Linux & QNX RTOS.
What we need to see:
• BS, MS in CS/CE/EE with 3+ years in a related field
• Demonstrated proficiency in C/C++ development, experience in Python programming
• Experience in software architecture design
• Strong Linux kernel, application-level system software experience
• Strong debugging skills from application to kernel level
• Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment
• Self-motivated and a good teammate
Ways to stand out from the crowd:
• Prior experience in the Autonomous Vehicles field
• Background in QNX RTOS and debug tools
• Worked with CAN and tools, RADAR, LiDAR
• Familiarity with cloud-based workflows