Computer Vision Engineer (Edge AI / In-Cabin Perception) | Singapore
My client is a technology company in the automotive AI space, building intelligent in-vehicle systems that run perception and AI models directly on the edge. They’re growing their Singapore engineering team and looking for hands-on engineers who want to see their work in real vehicles.
What you’ll do:
- Build in-cabin perception algorithms for driver, occupant and in-cabin monitoring
- Develop and optimise models for detection, keypoints, segmentation and tracking
- Take models from training to deployment on embedded AI hardware, including conversion, quantisation and acceleration
- Explore multimodal AI on edge devices, including vision-language models and LLM integration
What you’ll bring:
- 3+ years in computer vision or deep learning algorithm development
- Strong grounding in PyTorch or TensorFlow and core vision tasks such as detection, keypoints, segmentation and tracking
- Experience deploying models on embedded or edge platforms, e.g. ONNX, TensorRT, TFLite or NPU toolchains
- Automotive experience is a strong plus, especially DMS, OMS or other in-cabin sensing
- Bonus: experience with VLMs or LLMs, multimodal models, fine-tuning, on-device inference optimisation, or AI agents
- Mandarin proficiency is required to work closely with regional R&D teams
Lin Wee
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