Software Engineer Onboard Maps
Applied IntuitionVisit Applied Intuition website
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
Sunnyvale, United States
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 own an onboard live-map estimator that fuses map priors with perception. You will build change detection, define map-trust interfaces, create evaluation and regression pipelines, and ship real-time C++ estimation software for embedded systems.
Requirements
- Bachelor's degree in Computer Science or equivalent
- 5+ years of production software experience, including ownership of a shipped estimation core
- Knowledge of factor graphs or filtering, data association, uncertainty propagation, and 3D geometry
- Experience fusing map data, perception output, and raw sensors
- Strong modern C++ experience for real-time embedded compute
- Experience building ground-truth or metrics pipelines and preventing regressions
- Experience defining systems and interfaces with consumer teams
Responsibilities
- Own the onboard live-map estimator end to end
- Build onboard map change detection from divergence between maps and perception
- Define map-trust contracts, confidence semantics, and degraded-mode behavior
- Build ground-truth, metrics, and regression-testing pipelines
- Ship real-time C++ estimation code on embedded compute
- Aggregate fleet divergence detections into map-freshness and correction pipelines
Benefits
- Equity in the form of options and/or restricted stock units
- Health, dental, vision, life, and disability insurance
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off