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Software Engineer - Developer Infrastructure

Applied Intuition· Vehicle OS
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Sunnyvale$135k - $265kFull-timePosted 3mo ago

About the role

Design, build, and improve core libraries, frameworks, and tools for engineers; scale developer infrastructure and CI/CD in a fast-paced automotive-focused environment.

Responsibilities

  • Design, build, and improve the core libraries, frameworks, and tools every engineer uses day-to-day
  • Improve the speed and reliability of our developer infrastructure, including our Bazel build system and Buildkite CI/CD
  • Collaborate with all engineering teams to enable better code quality, testability and release processes
  • Carve out your own areas of expertise and influence product decisions - starting on day one
  • Establish best practices and standards to provide a well-lit-path for development

Qualifications

  • A Bachelor's degree in Computer Science, Software Engineering, or equivalent
  • 2+ years of experience building high quality software products and tools with a focus on quality, reliability, and developer ergonomics in technically challenging domains
  • The ability to owns products end-to-end, from underlying infrastructure to engagement metrics
  • Language expertise (Go, C++, Python, or TypeScript preferred), with experience creating or maintaining libraries, frameworks, and APIs
  • Passion about code quality; modeling best practices in their own work and raising the quality bar across an organization
  • Drive and initiative to work in a fast-paced environment

Skills

Required:GoC++PythonBazelBuildkite
Nice to have:TypeScript

Benefits

  • Base salary, equity, and benefits (health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off)
Last updated Oct 11, 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

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