Computer Vision Engineer

DeltaX

In-Cabin Monitoring Systems (DMS/OMS)

Key Responsibilities

1. Core Model Development (Vision AI)

• Algorithm Design:

  Design and implement deep learning models for Classification, Object Detection, Segmentation, Keypoint Detection, Pose Estimation, and OCR.

• Pipeline Building:

  Build end-to-end AI pipelines from data collection and cleaning to model training and final inference.

• Real-Time Processing:

  Develop algorithms capable of processing video streams in real-time environments.

2. Specialized Domain Tracks

• Automotive (In-Cabin AI):

• Develop Driver Monitoring Systems (DMS) and Occupant Monitoring Systems (OMS) including gaze tracking, head pose estimation, seatbelt detection, and drowsiness/distraction alerts.
• Implement sensor fusion pipelines using DMS/OMS cameras.

• Industrial (Smart Factory):

• Develop AI-based quality inspection solutions for manufacturing lines.
• Design automated systems for smart factory environments to enhance operational efficiency.

3. Optimization & Deployment (Edge AI)

• Embedded Integration:

  Deploy models on embedded automotive boards (e.g., TI TDA4, NVIDIA Jetson, ARM) and integrate with automotive ECUs.

• Performance Tuning:

  Optimize models for low latency and high throughput using quantization, pruning, and knowledge distillation.

• Frameworks:

  Utilize TensorRT, TIDL, OpenVX, and ONNX Runtime to ensure real-time performance and power compliance.

Qualifications & Skills

Required

• Education:

  Bachelor's or Master's in Computer Science, Electrical Engineering, Software Engineering, or related fields.

• Experience:

  2+ years of experience in Computer Vision / AI system development (preferably in automotive or industrial sectors).

• Programming:

  Strong proficiency in

  Python

  and

  C++

  .

• Deep Learning Frameworks:

  Hands-on experience with PyTorch, TensorFlow, and ONNX.

• Computer Vision Libraries:

  Expertise in OpenCV, MediaPipe, and Dlib.

• Problem Solving:

  Strong analytical skills with the ability to debug complex cross-version compatibility issues.

Preferred

• Automotive Standards:

  Familiarity with Euro NCAP and NHTSA guidelines for in-cabin monitoring.

• Deployment Ops:

  Experience with cloud-to-edge AI deployment pipelines and multi-camera synchronization.

• Domain Knowledge:

  Previous experience in commercialized Vision AI projects or smart factory applications.