Senior Embedded Software Engineer - AV Platform

NVIDIA•Us, CA

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. The Autonomous Vehicles Platform Team is looking for Senior Software Engineers and Architects to develop and bring NVIDIA's automotive platform out to the world! You will participate in a focused effort define productive ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will 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. Proven strong software design and development experience is a must. What you'll be doing: Software design, development and bring-up of next generation autonomous vehicle hardware platforms and sensors such as cameras, radars, lidars, etc. Collaborate with software, hardware and systems engineering teams to support bring up of new hardware, debug and resolve in-vehicle system issues, ensuring that NVIDIA HW and SW solutions are correctly integrated and working on autonomous development vehicles. Regularly engage with customer teams directly to customize, integrate and productize DRIVE platforms. Drive the reliability of the software platform which includes RADAR, LiDAR, Camera sensor processing and fusion. Analyze complex technical issues across software and hardware domains and independently drive issue analysis and resolution across multiple teams. Work in an environment which involves Hypervisor, Linux, QNX RTOS.

Requirements

BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant field (or equivalent experience).
5+ years of relevant experience working on software design and development.
Excellent communication and organization skills, with a logical approach to problem solving, good time-management and task-prioritization.
Excellent C/C++/Python programming skills.
Experience with embedded system involving Linux/RTOS with exposure to bring-up and debugging of ARM-based SoC target hardware boards.
Strong debugging skills from application to kernel level and comfortable working across SW/HW domains.
Device driver knowledge is a major plus.
Master of software debugging tools: software debuggers, analyzers, trace loggers.

Nice To Haves

Prior experience with Autonomous Vehicles or Robotic systems.
Familiarity with POSIX, QNX RTOS and associated development and debugging tools.
Prior experience working with CAN bus, Radar, Lidar is a plus.

Responsibilities

Software design, development and bring-up of next generation autonomous vehicle hardware platforms and sensors such as cameras, radars, lidars, etc.
Collaborate with software, hardware and systems engineering teams to support bring up of new hardware, debug and resolve in-vehicle system issues, ensuring that NVIDIA HW and SW solutions are correctly integrated and working on autonomous development vehicles.
Regularly engage with customer teams directly to customize, integrate and productize DRIVE platforms.
Drive the reliability of the software platform which includes RADAR, LiDAR, Camera sensor processing and fusion.
Analyze complex technical issues across software and hardware domains and independently drive issue analysis and resolution across multiple teams.
Work in an environment which involves Hypervisor, Linux, QNX RTOS.