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Nvidia Senior System Application Engineer - Autonomous Vehicles 
China, Shanghai 
249422718

12.08.2024

What you'll be doing:

  • Conduct thorough testing and verification of NDAS for a variety of Chinese OEM partners' carlines.

  • Plan, organize, and lead test campaigns on test tracks and public roads, working in close partnership with Chinese OEM partners and NVIDIA's internal teams.

  • Intake and analyze issues or bugs reported by partners and customers, examine any abnormal vehicle behavior, utilize specialized tools to determine the root cause at the subsystem level, and report these findings to the appropriate internal expert teams.

  • Oversee the bug life cycle, collaborating with various teams to push for effective solutions.

  • Stay updated on the latest testable software releases, including SW versions, resolved issues, and any known problems.

  • Reflect on vehicle test outcomes to guide teams with improvement suggestions.

  • Keep track of the most recent product software requirements, test cases, and reports.

  • Collaborate with our global engineering teams in the US and Europe to ensure the successful deployment of solutions to our customers

What we need to see:

  • BS, MS, or higher degree in Computer Science, Electrical Engineering, Robotics, or a related field or equivalent experience.

  • At least 5 years of gathered experience in all phases of testing including specification, implementation, execution, and documentation for autonomous driving related functions and architectures

  • A validated grasp of software testing methodologies, including but not limited to unit, integration, and end-to-end testing.

  • Hands-on experience with software debugging tools: software debuggers, analyzers, trace loggers. Strong analytical and problem solving skills, with good attention to details.

  • Proficiency in C/C++ languages

  • Excellent communicator, fluent written and verbal English.

  • Good teamwork with ability to work independently.

  • Passion to learn new hardcore technology.

  • A valid Driving license.

Ways to stand out from the crowd:

  • Experience with automotive design processes and norms (e.g. ISO 26262, ASPICE)

  • Prior experience with in-vehicle testing, simulation and metrics development of autonomous driving systems.

  • Hands-on experience resolving complex interdependent issues emanating from sensors to other embedded controllers on the vehicle.

  • Understanding of NVIDIA DRIVE platform or NVIDIA GPU hardware.