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VLA for Physical AI (Talent pool)

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Summary

Develops and deploys multimodal driving models for autonomous vehicles using VLA-style approaches, focusing on real-world perception, planning, and decision-making for on-vehicle execution.

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

  1. Application Screening

  2. Coding Test

  3. First Interview (Virtual, approximately 1 hour)

  4. Second Interview (In-person or Virtual, approximately 3 hours)

  5. 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.

What this application asks

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Full Legal Name, Email Address

  • Primary Phone Number (including country code)
  • LinkedIn Profile URL
  • What is your highest completed education level? choose one
  • Please indicate your preferred work location(s). (Select all that apply) choose any
  • What is your current work authorization status to work in Korea? choose one
  • What is your current work authorization status to work in U.S? choose one
  • On a scale of 1 to 7, how relevant is your experience to Visual-Language-Action (VLA) models in a physical AI context?  choose one
  • Please briefly describe your specific experience or projects related to Physical AI and Self-Driving Systems. written answer
  • Which of the following programming languages are you proficient in for AI/VLA development? (Select all that apply) choose any
  • If you selected “Other,” please specify the programming language(s). optional
  • How would you rate your proficiency in "Deep Learning Frameworks (e.g., PyTorch, TensorFlow)" areas relevant to VLA for self-driving? choose one
  • How would you rate your proficiency in "Computer Vision (e.g., Object Detection, Segmentation)" areas relevant to VLA for self-driving? choose one
  • How would you rate your proficiency in "Natural Language Processing (NLP)" areas relevant to VLA for self-driving? choose one
  • How would you rate your proficiency in "Reinforcement Learning/Control Systems" areas relevant to VLA for self-driving? choose one
  • What specific type of VLA or Physical AI role are you primarily interested in? choose one
  • What is the expected lead time (in months) from application submission to your potential start date, assuming an offer is accepted? choose one
  • Please provide the total number of years of professional experience you have in the field of AI/ML (Machine Learning).
  • How would you rate(1~7) your overall familiarity with common self-driving datasets (e.g., Waymo Open Dataset, nuScenes)?  choose one
  • Which specific VLA models or architectures have you primarily worked with? (Select all that apply) choose any
  • If you selected “Other,” please specify the model(s) or architecture(s). optional
  • Which specific hardware platforms or simulation environments have you utilized for Physical AI development? choose any
  • If you selected “Other,” please specify the platform(s) or environment(s). optional
  • Most Recent 3 Work History written answer
  • Education History written answer

See also

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