Staff Software Engineer- Remote Assist
- Architect and build scalable cloud backend services that power real-time session management for autonomous vehicles requesting assistance and human operators providing assistance.
- Leverage operational and technical data to optimize the efficiency of Command Center operations through intelligent real-time matching assignments.
- Develop and deploy robust, well-engineered solutions, leveraging modern cloud technologies and building highly available, low-latency backend services, APIs, and data pipelines.
- Provide technical leadership and influence best practices across multiple engineering teams at the intersection of cloud services and real-world autonomy.
- Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
- Partner with leaders across autonomy, cloud infrastructure, and operations to define technical roadmaps, align on priorities, and drive complex projects from inception to completion.
- BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
- 8+ years of industry experience in software development, with a proven track record of designing, building, and operating large-scale backend systems.
- Deep expertise in cloud backend development, including scalable web services, distributed systems, and modern API design.
- Proficiency with cloud infrastructure and DevOps practices (e.g., AWS, Kubernetes, Elasticache, CI/CD, and monitoring/alerting systems).
- Experience building large-scale gRPC services in Golang.
- Experience in a leadership role, driving technical strategy, influencing architectural decisions, and mentoring senior engineers.
- Exceptional communication and collaboration skills, with the ability to effectively partner with cross-functional teams and present technical solutions to a diverse audience.
- Experience in onboard C++ development for autonomous vehicles or other robotics.
- Experience in operations research or optimization algorithms.
- Experience in transportation, logistics, or other time-sensitive operations.
- Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
- Senior
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