# Software Engineer - Onboard Maps and State Estimation at Applied Intuition

- Company: Applied Intuition
- What the company does: Applied Intuition powers physical AI, automating machines across automotive, defense, trucking, mining, construction, & agriculture. Backed by General Catalyst, Kleiner Perkins and a16z.
- Company website: https://www.appliedintuition.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Sunnyvale
- Work setup: On-site
- Pay: $190K to $265K base salary per year (USD)
- Posted: 2026-09-25
- Apply by: 2026-11-09
- Apply: https://jobs.ashbyhq.com/Applied/6b7aacaa-32e3-4d58-93e6-7d7068f44617
- Page: https://www.1752.vc/careers/jobs/applied-intuition-software-engineer-onboard-maps-and-state-estimation/

## About the role

Our Localization, Calibration, and Mapping team delivers high-integrity solutions that let autonomous systems navigate with precision in real-time, safety-critical environments — across consumer automotive, trucking, mining, and construction. As a new team focused on platformization, we offer a rare opportunity to own core work leveraged across the entire organization.

## What they're looking for

- 5+ years building production software, including at least one shipped system where they owned the estimation core
- State estimation fundamentals proven in production: factor graphs and/or filtering, data association, uncertainty representation and propagation, and 3D geometry and transforms
- Experience fusing heterogeneous sources such as prior map data, perception output, and raw sensors, into a single world estimate, with rigorous error characterization
- Strong modern C++ and the ability to make estimation code meet real-time budgets on embedded compute
- Rigorous evaluation practice: has built ground-truth or metrics pipelines and used them to hold a shipped operating point and prevent regressions
- Judgment about uncertainty: understands the difference between an error that degrades gracefully and one that is catastrophic, and designs the system accordingly

Tags: Vehicle OS
