[MS/PhD Intern] AI Engineer (정규직 전환형)
Core
Developing camera-based End-to-End autonomous driving software and low-power, high-performance embedded systems to achieve Level 2+ autonomous driving by late 2027.
Role type
MS/PhD Intern transitioning to full-time AI Engineer
Builds
Production autonomous driving systems and next-generation VLA-based algorithms
Domain
Autonomous driving, Physical AI, Embedded Systems
Deliverable
production ML models | product features | infrastructure
Required skills
End-to-End system design and implementation, Real-vehicle data algorithm design and validation, Simulation and on-road experiment performance analysis, Research-to-production implementation, Production-level code development, MLOps system utilization
Preferred skills
Linux-based vehicle software integration, Middleware and system software design, Data pipeline and Data Flywheel construction, Multimodal model training and evaluation, Closed-loop evaluation framework design, RL and offline RL policy improvement
Technologies
MLOps, VLA, VLM, RL, offline RL, Linux, Simulation environments
Responsibilities
Design, implement, and validate core autonomous driving system technologies; Design and validate algorithms/models based on real-vehicle data; Analyze and improve performance through simulation and on-road experiments; Implement research results into production-ready forms; Collaborate closely with production teams to solve problems
Seniority
Intern (MS/PhD), transitioning to Senior Engineer level
