VLA for Physical AI (Talent pool)
- Level
- Mid
- Work type
- Hybrid · Pangyo
Not stated in the posting: salary, visa.
Open. First seen 2 October 2026.
About the role
About the Team & Mission
At 42dot, we build multimodal driving models that connect visual perception, scene context, and driving actions to enable robust autonomous driving behavior.
Our goal is to advance planning, decision-making, and action generation in real-world driving environments by leveraging VLA-style modeling approaches that incorporate prior knowledge for improved generalization, with a strong focus on production deployment and on-vehicle execution.
Interview Process
- Application Screening
- Coding Test
- First Interview (Virtual, approximately 1 hour)
- Second Interview (In-person or Virtual, approximately 3 hours)
- Offer Discussion / Onboarding
Additional Information
- Please upload all required documents in PDF format.
- The recruitment process may change depending on schedule and progress; the result of each stage will be sent individually to your registered email.
Please do not include legally prohibited information in your application (e.g., ID number, family relations, marital status, salary, photo, physical details, hometown).
- For application errors or inquiries, contact recruit@42dot.ai.
- Veterans and applicants eligible for employment protection will receive preferential consideration in accordance with applicable laws and regulations.
- In compliance with the Act on Employment Promotion and Vocational Rehabilitation for Persons with Disabilities, registered individuals with disabilities will receive preferential consideration.
- 42dot does not accept unsolicited resumes from search firms. We will not pay any fees for resumes submitted without prior agreement.
- False information in your application may result in offer cancellation.
A reference check may be conducted after the interview process, with your consent.
- A 3-month probationary period may apply.
The team: Autonomous Driving
This role is one of 3 open in Autonomous Driving.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Airflow (2 of 3), Data Warehousing (2 of 3), Databricks (2 of 3), Delta Lake (2 of 3), Machine Learning (2 of 3), MongoDB (2 of 3), PostgreSQL (2 of 3)
OTHER ROLES ON THIS TEAM
- Senior ML Platform Engineer (Autonomous Driving) posted Apr 29
- Senior AI Data Pipeline Engineer (Autonomous Driving) posted Apr 29
From the team and dates on 42dot's own job board.
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