Scenario Engineer, Mining Autonomy
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will create, maintain, and curate simulation test scenarios for mining autonomy. You will define safety and comfort requirements, analyze autonomous-vehicle performance through visualizations and reports, provide feedback on simulation functionality, and help customers build scenario libraries for their operational design domains.
Requirements
- Bachelor's degree from a four-year university
- 1+ years of experience in scenario creation and simulation testing for autonomous vehicles
- Understanding of safety verification and validation for vehicle software
- Experience with issue tracking and configuration management tools, including Atlassian Confluence, Jira, Bitbucket, and Git
- Written and verbal communication skills
- Experience developing safety arguments for autonomous systems
Responsibilities
- Design scenarios across mining autonomy domains
- Define and implement safety and comfort performance requirements for scenarios
- Create data visualizations and reports to understand autonomous-vehicle performance and coverage
- Provide feedback on core simulation functionality and usability
- Support customers in defining and building scenario libraries for their operational design domains
Benefits
- Equity in the form of options and/or restricted stock units
- Health, dental, vision, life, and disability insurance
- 401(k) retirement benefits with employer match
- Learning and wellness stipends
- Paid time off
- Occasional remote-work flexibility