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Senior Software Engineer - Simulation Orchestration

Applied Intuition· Data & Compute Platform
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Sunnyvale$153k - $220kFull-timePosted 3mo ago

About the role

Senior software engineer role focusing on the compute platform behind Applied Intuition's simulation workload orchestration, including multi-environment compute platform, on-demand scheduling, and capacity management across the company.

Responsibilities

  • Develop a multi-environment compute platform for workload scheduling, resource allocation, and node lifecycle.
  • Collaborate with customers and internal teams to translate compute needs into platform features.
  • Solve distributed systems challenges including GPU scheduling, autoscaling, and resource efficiency.
  • Ensure high reliability and scalability for production simulation systems.
  • Drive architecture decisions to expand simulation orchestration into a company-wide compute platform.

Qualifications

  • A Bachelor's degree in Computer Science, Software Engineering, or equivalent
  • 5+ years of backend engineering experience, with a track record of owning production distributed systems
  • 4+ years of coding in Golang, Python, Java, or C++
  • 4+ years building complex backend systems on major cloud providers
  • Deep Kubernetes expertise, including pod scheduling, node lifecycle, and autoscaling under load
  • Experience building or operating workload scheduling systems (e.g., dispatch, bin-packing, quota enforcement)
  • Self-starter with experience driving production system development from 0 to 1

Skills

Required:Backend engineeringGo, Python, Java, or C++Cloud platformsKubernetes

Benefits

  • Base salary is complemented by equity and benefits package including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off.
Last updated Oct 18, 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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