What You'll Do

Perform initial board bring-up on new hardware revisions, working closely with hardware engineers to debug and validate system functionality.
Working closely with other teams to build and maintain our custom Linux distributions to enable testing, manufacturing and production operations for various embedded devices.
Write, port, and debug complex Linux device drivers for a wide array of vehicle-critical peripherals, including: GMSL/FPD-Link cameras, automotive Ethernet and various peripherals: I2C, SPI, PCIe, GPIO, and UART.
Support the users by providing technical support and debugging cross disciplinary software and hardware-related problems.
Develop, optimize and maintain low-latency, robust low-level userspace software for Camera, LiDAR, Radar, IMU, GNSS, Microphones, and other autonomous vehicle sensors and actuators using C++/Python.

What You'll Need

Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering and related fields.
Minimum of 5 years of experience in embedded software development.
Strong proficiency in C/C++ programming for real-time embedded systems, including working in an asynchronous environment with multiple real-time, low-latency, safety-critical systems processes.
Strong skills in Python and Bash for automation, testing and supporting tasks
Proven, hands-on experience with embedded Linux kernel, including preempt_rt, device drivers and system services development for ARM-based platforms.
Demonstrable experience with board bring-up on custom hardware.
Understanding the electrical engineering fundamentals to be able to perform schematics and designs reviews and hardware debugging using oscilloscope, logic analyzers, etc.
Experience with common automotive hardware interfaces like CAN, SPI, I2C, PCIe, Ethernet.
Experience with Linux networking and debugging network-related issues.

5+ years of experience in software engineering, preferably in self-driving cars or other autonomous vehicles or robotic systems
Experience with the Nvidia embedded platforms, including the video processing subsystem - ISP, SerDes, Hardware encoding.
Understanding fundamentals of Camera, LiDAR, Radar, IMU, GNSS, and other sensor technologies, including their principles of operation, pros/cons and limitations.
Familiarity with ROS or similar frameworks and related communication protocols.