Industrial AI Vision Engineer: Edge & Cloud

nexxa; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive compensation

Equity package

Career development

Collaborative culture

Job summary

Nexxa is seeking an AI Vision Engineer to design, build, and deploy next-generation computer vision systems for industrial applications. You will work across the full vision stack, from classical CV to multimodal AI, with real-time inference at the edge and in the cloud.

You will collaborate with AI and engineering teams to deliver production-ready vision solutions, improve model performance, and shape the next generation of intelligent visual systems.

Qualifications

• 3+ years of industry experience in Computer Vision, Machine Learning, Applied AI, or related fields.
• Demonstrated experience independently owning and delivering computer vision projects from concept to production.
• Strong programming skills in Python.
• Hands-on experience with PyTorch and modern deep learning workflows.
• Experience developing and deploying computer vision models (detection, segmentation, classification, OCR) in production environments.
• Experience working with image and video processing libraries such as OpenCV.
• Experience with common CV/detection frameworks (e.g., YOLO, Detectron2, MMDetection, or similar).
• Experience working with VLMs, multimodal models, or Generative AI applications.
• Strong understanding of machine learning fundamentals, model evaluation, experimentation, and model deployment.
• Experience working with Hugging Face Transformers and open-source AI ecosystems.
• Familiarity with data annotation workflows, dataset curation, hyperparameter optimization, and inference optimization.
• Experience building production-grade software and AI systems.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Responsibilities

• Design, train, evaluate, and deploy computer vision models for real-world industrial applications.
• Build and optimize CV pipelines for tasks such as object detection, segmentation, classification, OCR, tracking, and visual understanding.
• Develop and fine-tune vision-language models (VLMs) for multimodal reasoning, visual question answering, and document understanding.
• Design and optimize real-time inference pipelines for deployment on edge devices and in the cloud.
• Build scalable data pipelines for image and video collection, annotation, augmentation, training, and evaluation.
• Fine-tune and evaluate open-source vision and multimodal foundation models using modern training and inference frameworks.
• Develop robust evaluation frameworks and benchmarks to measure model accuracy, robustness, latency, and business impact.
• Optimize models for production constraints, including quantization, pruning, and hardware-accelerated inference.
• Collaborate with product, engineering, and research teams to translate business requirements into technical vision solutions.
• Contribute to architecture decisions, technical design reviews, and AI/CV best practices.
• Stay current with the latest advancements in computer vision, multimodal AI, and autonomous systems.

Skills

Python

Strong programming

Excellent communication

Education

Bachelor's degree in Computer Science or related field

Master's degree in related field

Tools

PyTorch

OpenCV

YOLO

Detectron2

MMDetection

Transformers

Job description

Nexxa is seeking an AI Vision Engineer to design, build, and deploy next-generation computer vision systems for industrial applications. You will work across the full vision stack, from classical CV to multimodal AI, with real-time inference at the edge and in the cloud.

You will collaborate with AI and engineering teams to deliver production-ready vision solutions, improve model performance, and shape the next generation of intelligent visual systems.