Principal Vision Developer
The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally.
Principal Vision Developer
Position Overview
The Principal Vision Developer is a senior technical leadership role responsible for designing, developing, and deploying advanced computer vision and AI-powered visual systems that transform nuclear construction, safety monitoring, and quality control. This position requires deep 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 artificial intelligence and nuclear infrastructure, helping to automate visual inspection, detect anomalies, and ensure construction quality through cutting-edge computer vision technology.
Key Responsibilities
Computer Vision System Development
- Design and develop AI-powered computer vision systems for automated construction progress monitoring
- Build real-time video analytics systems that analyze camera feeds and drone imagery to detect construction issues
- Develop automated inspection systems using AI and computer vision to verify construction quality
- Create computer vision algorithms for anomaly detection, defect identification, and automated image analysis
- Implement 3D reconstruction from image sequences and point clouds for digital twin development
Camera Systems Integration & Detection
Design and deploy multi-camera networks across construction sites for comprehensive visual coverageIntegrate AI-enabled cameras into IoT sensor networks for real-time data collection and analysisImplement camera calibration systems for accurate geometric measurements and 3D reconstructionDevelop multi-camera synchronization for stereo vision and 360-degree coverageBuild camera management systems for configuration, monitoring, and maintenance of distributed camera networksIntegrate various camera types including fixed surveillance cameras, PTZ cameras, thermal / infrared cameras, and mobile drone camerasDesign detection pipelines that process video streams from multiple cameras simultaneouslyImplement intelligent camera placement strategies to optimize coverage and minimize blind spotsCreate camera health monitoring systems to detect and alert on camera failures or degraded performanceDevelop bandwidth optimization for efficient video streaming from large camera networksSafety & Compliance Monitoring
Develop AI safety enforcement systems that analyze camera feeds in real-time to detect PPE complianceBuild perimeter monitoring systems that detect unauthorized personnel or equipment breachesCreate automated alert systems that log safety violations and notify supervisors immediately when non-compliance is detectedDevelop hazard detection models that identify unsafe conditions, obstructions, or potential safety risksImplement worker tracking systems using camera-based detection for safety monitoring and emergency responseBuild tailgating detection systems that identify when multiple people enter on a single badge swipeProgress Tracking & Quality ControlBuild automated progress assessment systems using computer vision to track work package completionDevelop material classification algorithms that automatically identify installed components and materialsCreate surveillance video analysis systems to detect and track work packages' components automaticallyImplement activity recognition models to monitor construction activities and assess task completion timesBuild defect detection systems for automated quality inspection of welds, concrete pours, and structural installationsDevelop visual comparison tools that overlay as-built conditions against design models to identify discrepanciesCreate truck and material arrival detection using camera-based AI at jobsite entrance gatesMachine Learning & AI Model Development
Train deep learning models for object detection, segmentation, and classification in construction environmentsDevelop custom datasets from drone imagery, site cameras, and inspection photos with proper labeling and annotationImplement transfer learning to adapt pre-trained models for nuclear construction-specific applicationsCreate ensemble models that combine multiple vision techniques for robust performanceOptimize models for real-time inference on edge devices and GPU-accelerated serversImplement continuous learning pipelines that improve model accuracy over time with new dataBuild convolutional neural network-based detection systems for automated identification and classificationIntegration & Deployment
Integrate computer vision systems with Nuclear OS platform for seamless data flow and automated reportingDeploy vision models on edge devices, cloud infrastructure, and hybrid architectureConnect to IoT camera networks and drone feeds for real-time image acquisitionBuild APIs and microservices for vision system integration with other Nuclear OS modulesImplement data pipelines for image ingestion, preprocessing, inference, and result storageCreate visualization dashboards showing real-time progress metrics, safety alerts, and quality issuesIntegrate with access control systems for enhanced security monitoringDesign isolated security networks for camera systems in sensitive areasRobotic Vision & Automation
Develop computer vision systems for robotic perception and autonomous navigationIntegrate vision systems with robotic inspection and quality control platformsBuild visual servoing systems for robot guidance and manipulation tasksDevelop 3D pose estimation for robotic pick-and-place operationsCreate visual SLAM systems for autonomous robot navigation in construction sitesAdvanced Vision Applications
Implement photogrammetry pipelines for 3D reconstruction from drone and camera imageryDevelop infrared and thermal imaging analysis for equipment monitoring and anomaly detectionBuild optical character recognition systems for automated document processing and equipment labelingCreate facial recognition systems for access control and personnel tracking (where permitted)Develop appearance-based search for security and incident investigation across multiple camera feedsImplement vehicle and individual tracking across facility camera networks for security analysisTechnical Leadership & Innovation
Provide expert guidance on computer vision architecture, camera systems, algorithms, and best practicesLead cross-functional teams involving data scientists, software engineers, network engineers, and domain expertsEvaluate emerging vision technologies including foundation models, vision transformers, and multimodal AIEstablish development standards for vision system deployment in nuclear environmentsMentor junior developers on machine learning, computer vision, and AI techniquesRepresent TNC in industry forums on AI and computer vision applicationsDrive innovation in automated construction monitoring and intelligent inspection systemsRequired Qualifications
Education & Experience
Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (Master's or Ph.D. preferred)12+ years of experience in computer vision, machine learning, or AI development5+ years in a senior or lead role with demonstrated technical leadershipExperience in industrial, construction, or manufacturing applications preferredTechnical Skills - Computer Vision
Expert proficiency in computer vision libraries (OpenCV, scikit-image, PIL / Pillow)Deep understanding of classical CV techniques (edge detection, feature extraction, optical flow, SLAM)Experience with 3D computer vision (stereo vision, structure from motion, photogrammetry)Knowledge of image processing techniques (filtering, segmentation, morphological operations)Proficiency in video analytics and real-time processingUnderstanding of camera calibration, lens distortion correction, and geometric transformationsTechnical Skills - Camera Systems & Hardware
Strong experience with camera integration, configuration, and managementKnowledge of camera protocols (ONVIF, RTSP, HTTP streaming, GigE Vision)Understanding of camera