Computer Vision Engineer (Autonomous Driving)
- Computer Vision
- Machine Learning
- AI
- Python
- C++
- LiDAR
- CUDA
About the Team & Mission
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As a Computer Vision Engineer at 42dot, you will focus on researching and developing advanced computer vision and machine learning technologies for autonomous driving. You will develop algorithms that enable human-level perception by understanding 3D environments from multi-modal sensor data collected by autonomous vehicles. Working with state-of-the-art vision and AI technologies, you will contribute to the next generation of autonomous driving systems.
Responsibilities
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Conduct research and develop 3D computer vision and machine learning algorithms for autonomous driving
Develop 3D shape modeling, object pose estimation, and tracking algorithms
Research self-supervised representation learning using large-scale unlabeled scene data
Develop world models and closed-loop simulation technologies for autonomous driving
Explore advanced vision, robotics, and physics-based vision algorithms
Design efficient and scalable computer vision systems
Qualifications
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Python, C/C++ κΈ°λ° κ°λ° μλ
Master's or Ph.D. in Computer Vision, Robotics, Machine Learning, or a related field, or equivalent practical experience
2+ years of relevant research or industry experience
Strong theoretical and practical knowledge of computer vision and machine learning
Proficiency in Python and C/C++
Preferred Qualifications
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Proven experience in autonomous driving, robotics, or 3D vision projects
Hands-on experience with multi-sensor data processing and sensor fusion using GPS, IMU, cameras, and LiDAR
Experience developing SLAM, depth estimation, 3D reconstruction, or pose estimation algorithms
Experience with parallel programming technologies such as CUDA or OpenCL and system optimization
Experience developing VR/AR applications
Publication record in top-tier conferences or journals such as CVPR, ICCV, ECCV, TPAMI, or IJCV
Experience deploying and managing machine learning models in large-scale cloud environments
Interview Process
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Application Screening
Coding / Assignment Test
First Interview (Virtual, approximately 1 hour)
Second Interview (In-person or Virtual, approximately 3 hours)
Offer Discussion / Onboarding
Additional Information
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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.
Computer Vision Engineer (Autonomous Driving) Β· 42dot