Senior Vision Developer

The Nuclear Company•Seattle, WA

24d•$175,000 - $225,000

About The Position

As a Senior Vision Developer at The Nuclear Company, you will design, develop, and deploy advanced computer vision and AI-powered visual systems that transform nuclear construction, safety monitoring, and quality control. This role requires strong expertise in machine learning, image processing, camera systems integration, and real-time video analytics to enable automated progress tracking, safety compliance monitoring, and intelligent inspection systems for Nuclear OS. You'll work at the intersection of computer vision technology and nuclear infrastructure, helping to revolutionize how nuclear power plants are built and monitored.

Requirements

Bachelor's or Master's degree in Computer Science, Computer Vision, Machine Learning, Electrical Engineering, or related technical field
7+ years of experience in computer vision, machine learning, or AI development
3+ years in a senior or lead developer role with demonstrated technical contributions
Experience with construction progress monitoring and as-built documentation using visual data
Expert proficiency in computer vision libraries (OpenCV, scikit-image, PIL/Pillow)
Strong knowledge of deep learning frameworks (PyTorch, TensorFlow, Keras)
Experience with CNNs, vision transformers, and modern architectures (ResNet, YOLO, Mask R-CNN, ViT)
Experience with computer vision and machine learning for robotic perception
Knowledge of computer vision and automated image analysis techniques
Strong programming skills in Python, C++, or similar languages
Experience with real-time video processing and streaming analytics
Proficiency in GPU programming and optimization (CUDA, TensorRT)
Knowledge of cloud platforms and edge computing for vision systems deployment
Experience with version control (Git) and CI/CD pipelines
Understanding of camera systems including calibration, lens selection, and lighting considerations
Knowledge of image processing techniques including filtering, enhancement, and feature extraction
Familiarity with 3D vision including stereo vision, depth estimation, and point cloud processing
Understanding of BIM (Building Information Modeling) fundamentals and applications
Ability to work independently and lead technical initiatives
Strong problem-solving skills with ability to debug complex vision systems
Excellent communication skills for collaborating with cross-functional teams
Project management experience delivering production vision systems

Nice To Haves

Ph.D. in Computer Vision, Machine Learning, or related field
Contributions to open-source computer vision projects
Publications in computer vision or machine learning conferences (CVPR, ICCV, ECCV, NeurIPS)
Experience in construction, manufacturing, or industrial automation sectors
Knowledge of nuclear industry standards and safety requirements
Experience with multi-camera calibration and synchronization
Background in AI/ML product design and designing for intelligent systems
Experience with drone-based imaging and aerial data processing
Familiarity with edge AI hardware (NVIDIA Jetson, Intel Movidius, Google Coral)

Responsibilities

Design and develop AI-powered computer vision systems for automated construction progress monitoring, comparing current site images to BIM models to determine completion percentages
Create computer vision algorithms for anomaly detection, defect identification, and automated image analysis from drone and camera feeds
Build convolutional neural network-based detection systems for automated identification and classification
Design detection pipelines that process video streams from multiple cameras simultaneously
Integrate various camera types including fixed surveillance cameras, PTZ cameras, thermal/infrared cameras, and mobile drone cameras
Integrate AI-enabled cameras into IoT sensor networks for real-time data collection and analysis
Create surveillance video analysis systems to detect and track work packages' components automatically
Implement vehicle and individual tracking across facility camera networks for security analysis
Implement worker tracking systems using camera-based detection for safety monitoring and emergency response
Develop vision systems for safety compliance monitoring including PPE detection, restricted area monitoring, and hazard identification
Collaborate with construction teams to provide updated site models, progress comparisons, and deviation detection
Monitor construction activities for safety and environmental compliance through automated visual inspection
Develop computer vision systems for robotic perception and autonomous navigation
Integrate vision systems with robotic inspection and quality control platforms
Integrate computer vision and automated monitoring for robotic inspection and quality control
Train and optimize deep learning models for object detection, segmentation, classification, and tracking tasks
Implement transfer learning and fine-tuning strategies to adapt pre-trained models for nuclear construction applications
Develop custom neural network architectures optimized for real-time performance on edge devices
Evaluate emerging vision technologies including foundation models, vision transformers, and multimodal AI
Provide expert guidance on computer vision architecture, camera systems, algorithms, and best practices
Mentor junior developers on machine learning, computer vision, and AI techniques
Drive innovation in automated construction monitoring and intelligent inspection systems
Provide technical guidance to project teams and serve as a technical reviewer