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Scenario Engineer, Mining Autonomy

Applied Intuition· Self-Driving Systems
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Sunnyvale$90k - $150kFull-timePosted 3mo ago

About the role

Role focused on creating, maintaining, and refining simulation test scenarios for Mining Autonomy within Applied Intuition's tools and libraries, collaborating across Product, Engineering, and Sales to support customers and advance scenario-based testing.

Responsibilities

  • Design scenarios across Mining Autonomy domains
  • Define and implement safety and comfort performance requirements for scenarios
  • Create data visualizations and reports for understanding AV performance and coverage
  • Work closely with product teams while using and providing feedback on core simulation functionality and usability
  • Support customer teams in defining and building scenario libraries relevant for their specific operational design domain

Qualifications

  • Bachelor's degree from a 4-year university
  • 1+ years of experience in scenario creation and simulation testing for autonomous vehicles
  • Understanding of the safety verification and validation process for vehicle software
  • Experience using issue tracking and configuration management tools (e.g. Atlassian Confluence, Jira, Bitbucket, Git)
  • Proven analytical and detail-oriented capabilities
  • Excellent written and verbal communication skills
  • Passion for developing comprehensive safety arguments for autonomous systems

Skills

Required:Scenario creation and simulation testingSafety verification and validationIssue tracking / configuration management tools

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 (note: benefits subject to change and may vary by jurisdiction)
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
Company profileWebsite

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