Job Responsibilities

1. Design and develop industrial surface defect detection algorithms (traditional computer vision + deep learning).

2. Perform training, parameter tuning, challenging sample mining, and data governance based on data characteristics.

3. Optimize and further develop the model structure (loss/head/neck/backbone).

4. Implement model engineering deployment: ONNX, TensorRT, quantization, pruning, and inference acceleration.

5. Deploy a reproducible pipeline on edge devices such as Jetson/IPC.

6. Complete experiment documentation, A/B testing, robustness analysis, and toolchain development.

Job Requirements

1. Solid foundation in Python (PyTorch) and C++

2. Familiarity with the principles of classic detection/segmentation networks (YOLO/DETR/UNet, etc.)

3. Familiarity with industrial vision fundamentals (calibration, lighting, distortion, ROI, morphology)

4. Ability to independently implement model modules (loss/head/operator, etc.)

5. Experience with ONNX/TensorRT optimization

6. Ability to submit code repositories or technical reports

Bonus points

1. Experience in implementing solutions in industrial settings.

2. Familiarity with VLM (such as SAM/Grounding DINO).

3. Familiarity with multispectral/structured light/camera imaging.

Unsuitable candidates (please do not apply)

1. Primarily involved in HMI/PLC integration.

2. Only have experience with model deployment or simple parameter tuning.

3. No experience in algorithm development at the source code level.

Job Responsibilities

1. Responsible for the market promotion and sales of machine vision inspection products, developing new clients, and achieving sales targets;

2.  Understanding customer needs and leveraging product technical advantages (AI algorithms, high-precision visual recognition, etc.) to provide professional product demonstrations, solution presentations, and technical consulting;

3. Managing the entire project process (requirements gathering, solution quotation, contract signing, after-sales support) to ensure customer satisfaction;

4. Responsible for following up on project payments, defining payment milestones, promptly resolving issues during the payment process, and ensuring efficient payment collection;

5. Collecting market and customer feedback, assisting in optimizing products and sales strategies, and collaborating with the team to achieve regional sales targets.

Job Requirements

1. 3-5 years or more of sales/technical sales experience in machine vision inspection, industrial automation, or intelligent manufacturing; familiarity with industrial inspection scenarios (such as 3C electronics, automotive parts, semiconductors, behavioral pattern recognition, etc.) is preferred;

2. Possess knowledge of machine vision inspection products (visual sensors, inspection systems, AI recognition algorithms, etc.), and be able to clearly explain product technical advantages and application scenarios;

3. Have a strong sense of achievement, excellent customer acquisition and negotiation skills, and the ability to work under pressure; willing to travel;

4. Possess good communication and coordination skills and risk control awareness; practical experience in accounts receivable collection is a plus.

Bonus points

1. Possess mature manufacturing customer resources (factory production departments, automation procurement departments, etc.) or integrator channel resources;

2. Have an engineering background (automation, electronic information, mechanical engineering, etc.) and be able to quickly understand complex technical scenarios and customer needs;

3. Have experience in closing large-scale industrial inspection projects (such as high-precision defect detection, automated sorting line support) and managing payment collection.