42dot
VLA for Physical AI (Talent pool)
Sunnyvale, United States
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About the role
- 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.
Requirements
- Please upload all required documents in PDF format.
Company info
- Resume Screening
- Coding Test
- Virtual Interview (approximately 1 hour)
- Onsite or Virtual Interview (approximately 3 hours)
- Final Offer
- Please note that the interview process may vary depending on the position and is subject to change based on scheduling and other circumstances.
- Interview schedules and results will be communicated individually via the email address provided in your application.
- 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.
- Learn more about how 42dot work, Explore the 42dot Way → https://42dot.ai/careers/way
- Discover 42dot's Employee Engagement Program, Employee Engagement Program → https://42dot.ai/careers/program
- 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.
This listing is sourced directly from 42dot's careers page and normalized into a canonical job model.