At Aurora, we’re on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. It all starts with the Aurora Driver, a platform created from industry-leading hardware and software and designed to adapt across a variety of vehicle types and industries. Aurora is in the best position to lead the self-driving space with a team of unparalleled depth and expertise, the technology to deliver, and the partnerships to build a transformative business for the long-term.

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. We’re searching for a Software Network Engineer to join Aurora’s Vehicle Platforms team. 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

• Define vehicle compute and network architecture
• Perform bring up of new vehicle platforms
• Integrate new sensors and embedded devices and build interfaces for autonomy software
• Define network connectivity from vehicle to offboard services 
• Address vehicle-specific concerns for vehicle runtime, e.g. vehicle stack configuration, networking stack configuration, performance, hardware health monitoring, and networking monitoring
• Evolve the fleet from a collection of individual vehicles into a full service platform with integrated metrics and monitoring
• Optimize performance on CPU and GPU and other limited onboard hardware resources
• Work with autonomy engineers to meet 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

Required Qualifications

• BS/MS/PhD in Computer Science or related field, or equivalent industry experience
• Strong programming skills in C++
• Ability to work across multiple programming languages and paradigms
• Experience working with networking protocols, such as TCP, UDP, CAN bus protocols, RTP, gRPC, TFTP, HTTP
• 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

Desirable Qualifications 

• Experience with performance evaluation and optimization. 
• 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 working with various sensors, e.g. lidars, radars, cameras, audio, etc.
• Experience with safety critical systems
• CCNA/CCNP/JNCIP or equivalent networking industry experience
• Good understanding of ethernet switching and interaction between OSI layers 1, 2, 3 and 4
• Linux network configuration and troubleshooting

About Aurora:

Founded in 2017, Aurora was started by industry luminaries, and now we’re a team with a multitude of perspectives and experiences. Chris Urmson helped lead Carnegie Mellon’s efforts in Darpa’s Grand Challenges, then was a founding member of Google’s self-driving team. Sterling Anderson worked on the tech at MIT before leading Tesla’s Model X and Autopilot programs. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber’s autonomy effort. Regarded as the most experienced leadership team in the industry, these three bring decades of expertise, passion and focus to realizing our mission.

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#Mid-Senior