AI Development Engineer
Core
Build an enterprise-level autonomous driving data closed-loop platform and an AI-powered intelligent fault diagnosis system for mining vehicles.
Role type
Senior AI Development Engineer (Autonomous Driving Data & VLM)
Builds
Autonomous driving data closed-loop platform, VLM-based fault diagnosis tools, and MLOps pipelines for perception/fusion models.
Domain
Autonomous driving, mining automation, multi-modal AI (VLM)
Deliverable
production ML models | product features | infrastructure
Required skills
Python, C++/Go/Java, VLM development, SFT/LoRA/QLoRA, RAG, Agent workflows, MLOps, ONNX/TensorRT deployment, system architecture design
Preferred skills
ROS/ROS2, MCAP, Kubernetes, GPU scheduling, vLLM, Triton, MLflow, LLaVA/Qwen-VL/InternVL/CLIP
Responsibilities
Develop tools for vehicle fault event detection and data slicing/ingestion; build multi-source data management and annotation integration; develop VLM-based automated diagnosis with multi-modal context; implement RAG/Agent workflows for complex diagnosis; establish VLM fine-tuning and evaluation systems; design and maintain scalable, observable platform architecture.
Seniority
Senior, hands-on IC