4 months ago
Sŏngnam, Korea, SouthIntern
Responsibilities
- Design, implement, and validate core autonomous-driving system technologies end to end.
- Design and validate algorithms and models using real-vehicle data.
- Analyze and improve performance through simulation and real-road experiments.
- Implement research results in forms suitable for production systems.
- Collaborate closely with production teams to solve technical problems.
- Develop 3D perception models, self-supervised pre-training pipelines, and efficient 3D vision architectures.
- Develop and experiment with end-to-end planning models using imitation learning, reinforcement learning, and generative AI.
- Build closed-loop simulation, learning, evaluation, and vehicle-system integration pipelines.
- Design middleware and system software for autonomous-driving and ADAS systems, including Linux-based vehicle software integration and debugging.
- Develop driving scene captioning, question-answering, event-understanding, data-mining, multimodal-model training, evaluation, auto-labeling, retrieval, and dataset-curation systems.
Requirements
- Applicants must be MS or PhD students, expected graduates, or graduates, or have less than one year of professional experience.
- Applicants must be able to work full-time for the three-month internship.
- Candidates converting to full-time employment must be able to start within one month after the internship, subject to discussion if adjustment is needed.
- International applicants must have a residence status that permits full-time employment in South Korea.
- The process includes document screening, a coding test, video and onsite or video interviews, and compensation discussion.
Benefits
- Three-month full-time, employment-conversion internship with potential full-time conversion based on evaluation.
- Hands-on experience connecting autonomous-driving research with production vehicle systems, real-vehicle data, production code, and MLOps systems.
- Opportunity to work on camera-based end-to-end autonomous driving, Physical AI, and next-generation VLA-based algorithms.
- Disabled applicants and veterans receive preference according to applicable law.
- A reference check may be conducted with the applicant's consent after the interview process.
Tech Stack
AdaLinux
Categories
ML EngineeringRobotics
About 42dot
42dot builds software-defined vehicle and autonomous mobility platforms for automakers and mobility service providers. Its products include AI-driven vehicle software, data-based update services, and core platform components such as API gateways and identity/access management to connect services securely. The privately held company is headquartered in Seongnam-si, Gyeonggi-do, and focuses on transportation and automotive markets.