Physical AI Engineer
remotemid
via Ashby
About this role
ABOUT THE TEAM & MISSION
Physical AI Engineer는 차세대 자율주행을 위한 End-to-End(E2E) Planning Model을 설계·개발하고, 모델의 학습·검증을 위한 Closed-loop Simulation 환경과 파이프라인을 개발합니다.
Trajectory Generation과 Decision-making을 수행하는 E2E Planning Model부터 Closed-loop Simulation까지, 주행 상황을 바탕으로 안전한 의사결정과 trajectory를 생성하는 핵심 기술을 개발합니다. Generative AI, Imitation Learning, Reinforcement Learning, 3D 환경 재구성 및 물리 기반 Simulation 등 다양한 기술을 실제 Autonomous Driving 문제에 적용합니다.
E2E Planning Model을 직접 설계·개발하고, Closed-loop Simulation과 실차에서 성능을 검증합니다. Simulation 및 실차 주행 데이터와 실패 사례를 분석하여 모델을 개선하는 개발 사이클을 반복하며 차세대 Autonomous Driving System 개발에 기여합니다.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, c++
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonc++