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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Software
Posted
Mar 4, 2026
Salary
$153,000–$222,000 a year
Full-time

Software Engineer - Backend

Job description

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;

Job 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.

Job requirements

  • Bachelor's degree in Computer Science or a related field.
  • 2+ 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).

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