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Software Engineer - Perception (Fallback Stack)

Applied Intuition· Engineering
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Sunnyvale, CA$151k - $255kfull-timePosted 7mo ago

About the role

Perception-focused software engineer role on the Fallback Stack, building perception capabilities and uncertainty handling for autonomous vehicles or mobile robots, with emphasis on safe fallback behavior and integration into a core simulation engine.

Responsibilities

  • Design and implement simulation capabilities and workflows to enable cutting-edge real-world perception system development
  • Work closely with our sensor simulation team to ensure we build the best range of multi-fidelity simulation models
  • Work closely with our infrastructure team to provide the best enterprise software for engineering, testing, and product teams at our customers
  • Design perception and uncertainty signals that gate fallback behaviors.
  • Deploy production systems that directly impact vehicle safety and ODD expansion

Qualifications

  • 5+ years of experience in AV, robotics, or safety-critical perception systems
  • Proficiency in C++ and/or Python and production-grade software practices
  • Has hands-on experience with more than one domain relevant software framework or tools, such as middleware, benchmarking suites, data sets and related pipelines, or algorithmic libraries
  • Has worked with production level ML and DL perception algorithms for autonomous vehicles
  • Experience using ML for uncertainty estimation, confidence calibration, or OOD detection

Skills

Required:Uncertainty estimationConfidence calibrationOOD detection

Benefits

  • Base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off
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

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