Description
We're seeking a Senior Embedded Software Engineer to join our Autonomous Vehicles Platform Team. You will participate in defining 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.
Your responsibilities will include:
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. Analyse 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 include:
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.
To stand out from the crowd, prior experience with Autonomous Vehicles or Robotic systems, familiarity with POSIX, QNX RTOS and associated development and debugging tools, and prior experience working with CAN bus, Radar, Lidar is a plus.