Applied Intuition, Inc. is powering the future of physical AI, creating the digital infrastructure needed for intelligent machines. As a Backend Software Engineer on the Remote Assistance team, you will design, build, and maintain core services and infrastructure for the remote assistance platform, focusing on real-time data streaming and communication with autonomous vehicles.
Responsibilities:
- 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
Requirements:
- 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)
- Experience leading projects end to end
- Experience in a startup or fast-paced environment