VinFast

last week

AI Engineer – Perception for Autonomous Driving Systems

APAC

AI Computer Vision C++ Data Pipelines Deep Learning +11 skills

AI Engineer (Senior/Expert) at VinFast building perception and end-to-end driving models for autonomous driving systems — spanning computer vision, multi-sensor fusion (camera, LiDAR, radar), dataset preparation, model training/evaluation, and real-time deployment on embedded platforms using Python, C++, and PyTorch/TensorFlow.

last week

AI Engineer - 3D Reconstruction, Neural Rendering & Digital Twin

APAC

ADAS AI Cloud Computer Vision CUDA +5 skills

AI engineer at VinFast building high-fidelity digital twins of real-world driving environments: develop 3D/4D reconstruction and neural-rendering pipelines (3D Gaussian Splatting, NeRF, NVIDIA Cosmos/NuRec) from multi-camera and LiDAR data to enable autonomous-driving simulation and synthetic-data generation. On-site in Hanoi or Ho Chi Minh City; Python/PyTorch/CUDA stack.

4 weeks ago

Senior AI Engineer

Open 50d APACSenior

Agentic AI AI Computer Vision Containerization Conversational AI +16 skills

AI Engineer at EV maker VinFast building an in-vehicle conversational AI assistant: fine-tuning and evaluating LLMs (SFT, LoRA, RLHF/DPO), building RAG and multi-agent orchestration, optimizing models for on-device edge inference, and running production MLOps/LLMOps. Core stack: Python, PyTorch, HuggingFace, vLLM, TensorRT/ONNX/TFLite.

last month

Senior AI Engineer (LLM & Model Training)

Open 29d APACSenior

Agentic AI AI Airflow Analytics Automation +35 skills

Designs, trains, fine-tunes, and deploys production AI/ML models — especially LLMs, generative AI, and RAG systems — to solve manufacturing, quality, and supply-chain challenges across VinFast's EV operations. Core stack: Python, PyTorch, TensorFlow, Hugging Face, LangChain, plus MLOps tooling and cloud platforms.

last month

Senior AI Engineer (Computer Vision & Data Pipeline)

Open 36d APACSenior

ADAS AI Airflow Computer Vision Data Engineering +11 skills

Senior AI Engineer building the automatic labeling and data pipeline behind VinFast's ADAS and autonomous driving program: training and evaluating computer vision models on multi-sensor camera/LiDAR data while also building the production pipelines and tooling around them. Stack is Python, PyTorch, Airflow, Docker/Kubernetes on GPU clusters.

last month

Embedded AI Software Engineer (Senior/Expert)

Open 36d APACSenior

ADAS AI Computer Vision C++ CUDA +14 skills

At EV maker VinFast, you'll deploy and optimize CNN/DNN and vision models on embedded SoCs and AI accelerators, owning the full inference pipeline: PyTorch/TensorFlow → ONNX → runtimes like Qualcomm QNN, TensorRT, or TIDL. Day to day you'll quantize, fuse, and profile models in C/C++ and Python on embedded Linux to hit latency, throughput, memory, power, and accuracy targets.

2 months ago

Foundation AI Engineer (LLM)

Open 50d APAC

Agentic AI AI Data Pipelines Data Science Deep Learning +20 skills

VinFast is hiring a Foundation AI Engineer to research, pretrain, and post-train LLMs/SLMs powering its robot and virtual assistant products, including Vietnamese-language domain adaptation, RLHF/DPO alignment, distributed training on GPU clusters, and model distillation for on-device deployment.

2 months ago

Senior/Expert AI Engineer – ADAS

Open 49d APACSenior

ADAS AI Computer Vision C++ Data Pipelines +12 skills

VinFast is hiring a Senior AI Engineer to build ADAS perception systems: designing computer vision/deep learning models for detection, segmentation and tracking, fusing lidar/camera/radar/USS data, and owning the full AI lifecycle from data pipelines to real-time embedded deployment, while mentoring engineers. Core stack: Python, C++, PyTorch/TensorFlow, OpenCV, TensorRT/ONNX.

3 months ago

Speech ASR AI Engineer

Open 50d APAC

Agentic AI AI Android CI/CD Cloud +16 skills

Engineer at VinFast's Speech & Language Processing Center building and fine-tuning ASR models (Vietnamese, English, Bahasa) for cloud and on-device (Android/embedded) use in vehicles. Day-to-day: train/optimize speech models, build ML pipelines and serving infra, and optimize inference with tools like ONNX Runtime, TensorRT, and CUDA.