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AvrideAvrideAustin, TX

Embedded Linux Software Engineer to Sensors and System Software Team

Develops and maintains custom Embedded Linux systems, device drivers, and low-level software for autonomous vehicle sensors including cameras, LiDAR, and radar. Requires 5+ years experience with embedded Linux kernel, C++/Python, and ARM platforms; onsite in Austin, TX.

Salary not listed
On-site5+ YOEEmbedded Engineering

About the role

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.

Nice to Have

  • 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.

Skills

Embedded LinuxC++PythonLinux KernelDevice DriversArmBoard Bring-UpI2CSpiPcieCanEthernetPreempt_RtBashNvidia Platforms
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