Nvidia Senior Systems Software Engineer - Autonomous Vehicles 

United States, California 

461784913

What you'll be doing:

• Design, build, and deploy simulation focused frameworks and tooling for current and next generation autonomous vehicle development and integration testing.

• Lead bring-up and integration activities as the trusted technical expert to our partners, providing domain expertise to resolve functional and simulation related issues.Perform in-vehicle and simulation test drives, collect and perform deep analysis on the recorded data, and use aggregated metrics for simulation-to-real comparative analysis.

• Collaborate with engineering and product teams across our US, APAC, and Europe locations to drive modern and creative simulation solutions for partners with accurate validation and verification.

• Provide technical leadership and mentoring to multi-functional engineering teams with diverse skills and backgrounds.

What we need to see:

• BS, MS or PhD degree in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).

• 8+ years of work related experience in software development related to autonomous driving and/or simulation technologies.

• Track record providing robust and efficient solutions (in car or simulation) with an emphasis on profiling, benchmarking, and evaluation for verification and validation.

• Prior experience in application development and familiarity with middleware frameworks and sophisticated system-level integrations.

• Excellent C/C++ development skills with good knowledge of Python.

• Ability to adapt to fast paced development lifecycles, multi-functional organizations, new technologies and platforms.

Ways to stand out from the crowd:

• Experience with automotive design processes and standards (e.g. ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation and metrics driven development.

• Proven expertise in developing simulation solutions and experience with diverse vehicle dynamics and sensor modalities in automotive (camera, radar, ultrasonic, GPS, IMU, LIDAR)

• Understanding of NVIDIA DRIVE platform and NVIDIA GPU hardware

• In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR

• Strong analytical skills, strive for innovative solutions, with outstanding attention to details.