Software Engineer - Core Services

Aurora Services Engineering Staff Engineer

Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge.

We are looking for a Staff Engineer to join the Core Services team under Aurora Services. You will help the Aurora Services Org to build the new asset management solution to scale up the autonomous vehicles fleet.

In this role you will:

• Design complex systems from the ground up. Partnering closely with software, hardware, and infrastructure engineering teams.
• Partner with product managers, designers, and operation stakeholders to deliver the benefit of self-driving vehicles quickly, safely, and broadly.
• Design, implement, and maintain a micro-backend architecture running in the Aurora's AWS cloud used to monitor and manage the entire Aurora commercial fleet.
• Design, implement the fleet management solution and the vehicle communication system.
• Establish technology and infrastructure to scale our products with high availability and reliability.
• Contribute and evolve our team culture around mentorship, feedback, collaboration, and engineering excellence.

Required qualifications:

• 7 or more years of experience in building backend services.
• Bachelor's or Master's degree in computer science or a related field.
• Experience with web communication protocols, including REST, gRPC, and GraphQL.
• Experience with building large scale, high concurrent, high throughput, and safety critical backend services.
• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.
• The drive to make teams stronger. You're excited to work hard and fast to the finish line on new opportunities with a collaborative and integrated team. You will be proactive in engaging conflict with openness, patience, and kindness in an environment where it is safe to lean on each other and learn from failures.
• Motivation to own the product lifecycle end to end. You're happy to engage with our product and design teams and our internal customers to understand their needs and find ways to meet them. You ensure that product development stays on course all the way through release and post-release support.

Desirable qualifications:

• Experience with embedded autonomous vehicle development.
• Experience with IoT, real-time communication between devices and cloud.
• Experience with application release strategies such as feature flagging, A/B testing, and canary release.
• Experience with observability and monitoring of safety critical systems.
• Experience with fleet management solutions for robots, vehicles, or aerial drones.
• Experience with external customer facing software including production rollout with real customers.
• Experience with safety and mission critical applications.

For roles based in Mountain View, CA and San Francisco:
The salary range for this position is $189,000 - $303,000 per year.

For roles based in Pittsburgh, PA:
The salary range for this position is $171,000 - $273,000 per year.

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.…