Senior Software Engineer, Applied Intuition

• Bachelor's degree in Computer Science or a related field
• 5+ years of professional experience in web services software development and cloud infrastructure
• Strong proficiency in a backend programming language such as Go and Python
• Experience with distributed systems, microservices, and building scalable backend applications
• Experience with cloud platforms ( AWS, GCP or OCI) and containerization (Docker, Kubernetes)
• Hands-on experience with NoSQL databases (e.g., Redis)
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles

Desirable

• As a Backend Software Engineer on the Remote Assistance team, you will be responsible for designing, building, and maintaining the core services and infrastructure that power our remote assistance platform
• Your work will involve creating the APIs, data pipelines, and backend systems that handle real-time data streaming, command processing, and communication with both the autonomous vehicles and the human operator workstations
• This is a high-impact role where you will be instrumental in making autonomous trucking a reality by ensuring a reliable and scalable backend
• Design, develop, and deploy scalable, low-latency backend services for remote assist session management and real-time data streaming
• Architect and implement the cloud infrastructure for remote assistance including technologies like protobuf, gRPC across multiple AWS regions
• Design and implement the service data persistence layer using no sql databases like Redis
• Implement data pipelines to ingest, process, and store real-time data from autonomous vehicles
• Collaborate closely with onboard software teams and front-end engineers to ensure seamless end-to-end data flow
• Ensure the security, reliability, and resilience of the backend platform, including handling network disruptions and failover
• Optimize data serialization and transmission to minimize latency and bandwidth usage on the server side