Senior Software Engineer - Vehicle Platforms

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.
• 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

The base range for this position is $152,000 - $227,000.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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#Mid-Senior