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Software Engineer - Backend

Applied Intuition
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Sunnyvale, CA$153k - $222kfull-timePosted 7mo ago

About the role

Backend software engineer on the Remote Assistance team creating APIs, data pipelines, and backend systems to power the remote assistance platform for autonomous vehicles and operator workstations. Focus on real-time data streaming, command processing, and scalable, secure backend services.

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 protobuf, gRPC across multiple AWS regions.
  • Design and implement the service data persistence layer using NoSQL 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.

Qualifications

  • Bachelor's degree in Computer Science or a related field.
  • 3+ years of professional experience in web services software development and cloud infrastructure.
  • Strong proficiency in backend languages 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).

Skills

Required:GoPythonDistributed systemsCloud platformsDockerKubernetesRedis
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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