Automotive Vision AI Engineer - Edge & Multimodal

XG TECH PTE.LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

XG Tech seeks an Image Algorithm Engineer to develop and optimize computer vision systems for automotive cabins, parking, and security scenarios. You will optimize models for embedded edge chips and explore VLM/LLM and on-device AI for multimodal interaction.

Join a fast-growing team focused on lightweight, low-latency vision pipelines, data annotation standards, and end-to-end model deployment across automotive platforms, including DMS, AVM, and privacy features.

Qualifications

• 3+ years of experience in computer vision algorithm development.
• At least 1 year automotive cockpit experience (DMS/OMS/IMS).
• Proven experience with model training, optimization, and deployment on embedded platforms.
• Familiarity with ONNX, TensorRT, TFLite, or NPU toolchains.

Responsibilities

• Develop and optimize computer vision algorithms for automotive applications, including DMS, AVM, Sentry, and privacy/de-identification features.
• Design and optimize lightweight vision algorithms for embedded automotive platforms, addressing low compute, low latency, and high-reliability requirements.
• Build and manage the end-to-end vision data pipeline, including data collection, annotation standards, data cleaning, augmentation, model training, deployment, and iteration.
• Explore cockpit-driving integration applications, combining in-cabin perception, external environment sensing, and vehicle decision-making.
• Develop VLM/LLM-powered automotive applications, including visual intent understanding, multimodal cockpit assistants, and real-time environmental information extraction.
• Explore vision-based AI Agents for proactive decision-making and context-aware interaction based on passenger and environmental states.
• Deploy and optimize VLM/LLM models on automotive edge chips, including model compression, inference acceleration, and heterogeneous computing for low-latency, low-power inference.

Skills

Computer vision

Automotive cockpit

Deep learning

Tools

PyTorch

TensorFlow

ONNX

TensorRT

TFLite

Job description

XG Tech seeks an Image Algorithm Engineer to develop and optimize computer vision systems for automotive cabins, parking, and security scenarios. You will optimize models for embedded edge chips and explore VLM/LLM and on-device AI for multimodal interaction.

Join a fast-growing team focused on lightweight, low-latency vision pipelines, data annotation standards, and end-to-end model deployment across automotive platforms, including DMS, AVM, and privacy features.