Senior Software Engineer - Vehicle Platforms

Who We Are

Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling semi-trucks to ride-hailing passenger vehicles, and underpins Aurora Horizon and Aurora Connect, its driver-as-a-service products for trucking and ride-hailing. Aurora is working with industry leaders across the transportation ecosystem, including Toyota, FedEx, Volvo Trucks, PACCAR, Uber, Uber Freight, U.S. Xpress, Werner, Covenant, Schneider, and Ryder. For Aurora’s latest news, visit aurora.tech and @aurora_inno on Twitter.

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.

We’re led by a team of self-driving luminaries, and we’ve forged strategic partnerships with leading transportation companies—including ride-hailing network Uber, truck-manufacturers PACCAR and Volvo Trucks, and the world’s largest automaker Toyota—setting us up to deliver the Aurora Driver in both trucks and passenger vehicles. We are funded by Amazon, Uber, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock, and Index Ventures.

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 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.
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