Applied

Software Engineer - Backend

Sunnyvale. Posted 8 months ago

The role

You will design, build, and maintain core services and infrastructure for a remote assistance platform. This involves creating APIs, data pipelines, and backend systems for real-time data streaming and command processing.

What you will do

  • Design, develop, and deploy scalable, low-latency backend services for remote assist session management and real-time data streaming.
  • Architect and implement cloud infrastructure using technologies like protobuf and 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 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.
  • Optimize data serialization and transmission to minimize latency and bandwidth usage.

Required qualifications

  • 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).

Nice to have

  • Experience leading projects end to end.
  • Experience in a startup or fast-paced environment.

Benefits

  • Base salary
  • Equity in the form of options and/or restricted stock units
  • Comprehensive health, dental, vision, life and disability insurance coverage
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.