AI Vision Engineer

Nexxa.AI; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Innovative environment

Collaborative culture

Career growth

Competitive compensation

Job summary

Nexxa.ai in Sunnyvale, CA, is building autonomous AI vision systems for heavy industry, combining edge and cloud inference to enable real-time decision making.

We are seeking an AI Vision Engineer to design, train, deploy CV models, and develop VLMs for multimodal reasoning and document understanding.

You will collaborate with AI and engineering teams to translate requirements into production-grade vision solutions and optimize for performance and reliability.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, AI, or related field.
• 3+ years of industry experience in Computer Vision, ML, AI, or related fields.
• Strong programming skills in Python.
• Hands-on experience with PyTorch and modern deep learning workflows.
• Experience deploying CV models (detection/segmentation/classification/OCR) in production.

Responsibilities

• Design, train, evaluate, and deploy computer vision models for real-world industrial applications.
• Build and optimize CV pipelines for object detection, segmentation, classification, OCR, tracking, and visual understanding.
• Develop and fine-tune vision-language models for multimodal reasoning, VQA, and document understanding.
• Design and optimize real-time inference pipelines for edge devices and 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.

Skills

Python

PyTorch

OpenCV

YOLO

Detectron2/MMDetection

VLMs

Edge & Cloud inference

Hugging Face

MLOps

Education

Bachelor’s degree in CS or related field

Tools

Docker

Kubernetes

TensorRT

ONNX Runtime

AWS/GCP

Job description

Nexxa.ai is building artificial super intelligence for heavy industries — enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments.

Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

Role Overview

We are looking for an AI Vision Engineer to help design, build, and deploy next-generation computer vision systems across a diverse set of real-world industrial applications.

This role is ideal for someone with a strong foundation in Computer Vision and Machine Learning who is excited about working across the full vision stack, including classical and deep-learning-based CV, vision-language models (VLMs), multimodal reasoning, and real-time inference at the edge and in the cloud.

You will work closely with our AI and engineering teams to develop production-ready vision solutions, improve model performance, and help shape the next generation of intelligent visual systems.

What You’ll Do

• 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.

Required Qualifications

Education

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, Artificial Intelligence, or a related technical field, or equivalent practical experience.

Experience & Skills

• 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.

Preferred Qualifications

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related field.

• Experience with OCR, document understanding, or visual reasoning systems.

• Experience with Vision-Language Models (VLMs) and multimodal AI applications.

• Familiarity with 3D vision, SLAM, or sensor fusion (e.g., camera + LiDAR) for industrial or robotics applications.

• Experience with real-time inference optimization (TensorRT, ONNX Runtime, quantization, pruning).

• Experience deploying models on edge hardware (e.g., NVIDIA Jetson, embedded systems).

• Experience with LangChain, LangGraph, or agentic AI frameworks combining vision and language models.

• Experience with vector databases and visual/semantic retrieval systems.

• Experience deploying AI systems on AWS, GCP, or other cloud platforms.

• Experience with Docker, Kubernetes, and MLOps workflows.

• Experience with PostgreSQL and large-scale data systems.

• Experience with model serving, distributed training, and inference optimization at scale.

• Contributions to open-source projects, technical blogs, research publications, Kaggle competitions, or other demonstrable CV/AI work.

• Experience working in startup or high-growth environments.

What We’re Looking For

• A builder who enjoys taking vision systems from prototype to production.

• Someone comfortable working across classical Computer Vision, deep learning, and multimodal Generative AI.

• An engineer who is curious, adaptable, and eager to learn emerging vision and AI technologies.

• A strong collaborator who can contribute across research, engineering, and product discussions.

• Someone excited about solving challenging real-world problems using computer vision.

• An individual who takes ownership, moves quickly, and thrives in an environment with significant autonomy.

Why Join

• Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies.

• Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement.

• Professional Growth: Benefit from significant opportunities for career development and advancement.

• Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.