Aurora Innovation-posted about 2 hours ago
$189,000 - $303,000/Yr
Full-time • Mid Level
Mountain View, CA
1,001-5,000 employees

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. The Vehicle Platforms team is responsible for bringing up Aurora’s self-driving vehicle platforms and integrating their core hardware components such as compute, base vehicle, embedded devices and sensors into the onboard software, creation of tools to support fleet operations and monitor hardware health, performance optimization, onboard networking architecture and monitoring. In this role, you will: Perform bring up of new vehicle platforms Define vehicle compute and network architecture Integrate new sensors and embedded devices and build interfaces for autonomy software Address vehicle-specific concerns for vehicle runtime, e.g. vehicle stack configuration, networking stack configuration, performance, hardware health monitoring, and networking monitoring and security Evolve the fleet from a collection of individual vehicles into a full service platform with integrated metrics and monitoring Optimize performance on Network, CPU and GPU and other limited onboard hardware resources Help define precision time protocol architecture across the network Work with autonomy engineers to meet security, integrity and latency requirements for sensor data Utilize HIL (hardware-in-the-loop) test infrastructure to automatically verify onboard code changes and profile performance Provide engineering support for field testing and fleet operations

  • Perform bring up of new vehicle platforms
  • Define vehicle compute and network architecture
  • Integrate new sensors and embedded devices and build interfaces for autonomy software
  • Address vehicle-specific concerns for vehicle runtime, e.g. vehicle stack configuration, networking stack configuration, performance, hardware health monitoring, and networking monitoring and security
  • Evolve the fleet from a collection of individual vehicles into a full service platform with integrated metrics and monitoring
  • Optimize performance on Network, CPU and GPU and other limited onboard hardware resources
  • Help define precision time protocol architecture across the network
  • Work with autonomy engineers to meet security, integrity and latency requirements for sensor data
  • Utilize HIL (hardware-in-the-loop) test infrastructure to automatically verify onboard code changes and profile performance
  • Provide engineering support for field testing and fleet operations
  • BS/MS/PhD in Computer Science or related field, or equivalent industry experience
  • Strong programming skills in C++
  • Experience working with networking protocols, such as TCP, UDP, CAN bus protocols, RTP, gRPC, TFTP, HTTP, 802.1Q/VLANs
  • Linux networking and troubleshooting
  • A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
  • A passion to work at the hardware/software interface
  • Ability to navigate and work effectively in large codebases
  • Good communication skills and the ability to work efficiently with cross functional and geographically dispersed teams
  • Experience with Linux Kernel Networking, BGP routing protocol
  • Experience working with various sensors, e.g. lidars, radars, cameras, audio, etc.
  • Experience with system performance evaluation and optimization.
  • Experience with IP tables or Nftables
  • Experience with Base-T1 automotive ethernet
  • Automotive networking and protocols; SOME/IP, UDS, CANbus
  • Experience with Network Monitoring and SNMP, gNMI or any monitoring protocol
  • Hardware health monitoring frameworks
  • Designing and understanding complex software systems and interplay between system components
  • Time sensitive networking protocols, e.g. PTP, gPTP, etc.
  • Experience with safety critical systems
  • Good understanding of ethernet switching and interaction between OSI layers 1, 2, 3 and 4
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