Industrial AI Vision Engineer - Edge & Cloud in Production

Nexxa.AI; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Equity package

Job summary

Nexxa.AI is seeking an AI Vision Engineer to design, train, and deploy computer vision systems for industrial applications. You will build pipelines for detection, segmentation, OCR, and tracking, and develop VLMs for multimodal reasoning.

Join a team advancing real-time inference at the edge and in the cloud with production-grade software. You will collaborate across engineering and product teams, optimize models for performance, and contribute to architecture and best practices while staying

Qualifications

• Bachelor’s degree in CS/Engineering or related field.
• 3+ years in Computer Vision / ML.
• Strong Python skills with PyTorch experience.
• Experience deploying CV models in production.
• Experience with OpenCV and CV frameworks (YOLO/Detectron2).

Responsibilities

• Design, train, evaluate, and deploy CV models for real-world industrial apps.
• Build CV pipelines for detection, segmentation, OCR, tracking.
• Develop and fine-tune VLMs for multimodal tasks.
• Design real-time inference pipelines for edge and cloud.
• Create scalable data pipelines for image/video data.
• Optimize models for production constraints (quantization/pruning).
• Collaborate with product and research teams to translate requirements.

Skills

Python

PyTorch

OpenCV

YOLO/Detectron2

VLMs/multimodal AI

Edge & Cloud deployment

MLOps/pipelines

Hugging Face

Education

Bachelor’s degree in CS/Engineering or related field

Tools

Docker

Kubernetes

ONNX Runtime

TensorRT

Job description

Nexxa.AI is seeking an AI Vision Engineer to design, train, and deploy computer vision systems for industrial applications. You will build pipelines for detection, segmentation, OCR, and tracking, and develop VLMs for multimodal reasoning.

Join a team advancing real-time inference at the edge and in the cloud with production-grade software. You will collaborate across engineering and product teams, optimize models for performance, and contribute to architecture and best practices while staying