Principal Vision Developer
hace 1 día
Seattle
Job Description:\n\nThe 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 DevelopmentDesign and develop AI-powered computer vision systems for automated construction progress monitoring, comparing current site images to BIM models to determine completion percentagesBuild real-time video analytics systems that analyze camera feeds and drone imagery to detect construction issues, missing components, and deviations from designDevelop automated inspection systems using AI and computer vision to verify construction quality and detect deviationsCreate computer vision algorithms for anomaly detection, defect identification, and automated image analysis from drone and camera feedsImplement 3D reconstruction from image sequences and point clouds for digital twin development Camera Systems Integration & DetectionDesign 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 networks Safety & Compliance MonitoringDevelop AI safety enforcement systems that analyze camera feeds in real-time to detect PPE compliance (helmets, vests, safety glasses)Build perimeter monitoring systems that detect unauthorized personnel or equipment breaches during critical operations like heavy liftsCreate 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 risks in construction zonesImplement 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 completion Develop material classification algorithms that automatically identify installed components and materials from construction site imagesCreate surveillance video analysis systems to detect and track work packages' components automaticallyImplement activity recognition models (using YOLO, CNNs) 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 gates Machine Learning & AI Model DevelopmentTrain deep learning models (CNNs, transformers, YOLO, R-CNN) 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 classification Integration & DeploymentIntegrate 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 areas Robotic Vision & AutomationDevelop 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 sites Advanced Vision ApplicationsImplement photogrammetry pipelines for 3D reconstruction from drone and camera imageryDevelop infrared and thermal imaging analysis for equipment monitoring and anomaly detectionBuild optical character recognition (OCR) 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 analysis Technical Leadership & InnovationProvide 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 systems Required Qualifications Education & ExperienceBachelor'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 preferred Technical Skills - Computer VisionExpert 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 transformations Technical Skills - Camera Systems & HardwareStrong experience with camera integration, configuration, and managementKnowledge of camera protocols (ONVIF, RTSP, HTTP streaming, GigE Vision)Understanding of camera specifications (resolution, frame rate, dynamic range, sensor types)Experience with various camera types (IP cameras, thermal cameras, PTZ cameras, industrial cameras)Proficiency in multi-camera synchronization and calibrationKnowledge of video compression standards (H.264, H.265, MJPEG)Understanding of network bandwidth requirements and optimization for video streamingFamiliarity with camera mounting, positioning, and field-of-view calculations Technical Skills - Machine Learning & Deep LearningExpert knowledge of deep learning frameworks (PyTorch, TensorFlow, Keras)Strong experience with CNNs, vision transformers, and modern architectures (ResNet, YOLO, Mask R-CNN, ViT)Proficiency in object detection, semantic segmentation, and instance segmentationExperience with model training, hyperparameter tuning, and optimizationKnowledge of transfer learning, fine-tuning, and domain adaptationUnderstanding of data augmentation, regularization, and model evaluation techniques Technical Skills - Programming & DevelopmentExpert programming skills in Python (primary) and C++ (for performance-critical code)Proficiency in GPU programming (CUDA, cuDNN) for accelerated inferenceExperience with MLOps tools (MLflow, Weights & Biases, TensorBoard)Knowledge of containerization (Docker, Kubernetes) for model deploymentFamiliarity with cloud platforms (AWS SageMaker, Azure ML, Google Cloud AI)Understanding of REST APIs, microservices, and distributed systems Technical Skills - Data & InfrastructureExperience with large-scale image datasets and data annotation tools (Labelbox, CVAT, Label Studio)Knowledge of data pipelines, ETL processes, and data versioning (DVC)Proficiency in database systems for image metadata and results storageUnderstanding of edge computing and model optimization (TensorRT, ONNX, quantization)Familiarity with streaming video processing and real-time analyticsExperience with video management systems (VMS) and network video recorders (NVR) Domain KnowledgeUnderstanding of construction processes, quality control, and safety requirementsKnowledge of BIM models, CAD data, and 3D visualizationFamiliarity with industrial inspection and automated monitoring systemsExperience with regulatory compliance and documentation requirementsUnderstanding of nuclear facility operations and safety protocols (preferred)Knowledge of security systems and surveillance best practices Soft SkillsExcellent problem-solving abilities with creative approach to vision challengesStrong communication skills to explain complex AI concepts to diverse stakeholdersProject management experience delivering production vision systemsAbility to work collaboratively across engineering, operations, security, and safety teamsStrategic thinking with focus on scalable, maintainable solutionsAttention to detail for accuracy-critical applications Preferred QualificationsPh.D. in Computer Vision, Machine Learning, or related fieldPublications in top-tier computer vision conferences (CVPR, ICCV, ECCV)Experience in nuclear, energy, or highly regulated industriesBackground in robotics, autonomous systems, or industrial automationKnowledge of 3D sensors (LiDAR, depth cameras, structured light)Experience with multi-camera systems and camera networksFamiliarity with real-time operating systems and embedded visionCertifications in AI/ML (AWS ML Specialty, Google ML Engineer, etc.)Contributions to open-source computer vision projectsExperience with video surveillance systems and security analyticsKnowledge of lighting design for optimal camera performance Work EnvironmentHybrid work environment with office-based development and field testingNuclear construction sites requiring safety training and PPECollaboration with construction crews, safety personnel, engineers, and data scientistsOccasional travel to multiple project sites for camera deployment and system integrationFast-paced environment with evolving AI technologies Why This Role Matters Computer vision is transforming nuclear construction by enabling automated progress tracking, real-time safety monitoring, and intelligent quality control through integrated camera systems. By developing AI-powered visual systems with comprehensive camera networks, you'll help reduce construction errors, improve safety compliance, and accelerate project timelines. Research shows that computer vision can automate progress assessment with 80%+ accuracy, dramatically reducing manual inspection time and catching issues before they become expensive problems. This role is critical to TNC's vision of fleet-scale nuclear deployment through AI-driven automation and intelligent construction management powered by integrated camera detection systems. This position offers the opportunity to apply state-of-the-art computer vision, AI technologies, and camera integration to one of the most important challenges of our time—building clean, carbon-free nuclear energy infrastructure at scale through intelligent automation and comprehensive visual monitoring. BenefitsCompetitive compensation packages401k with company matchMedical, dental, vision plansGenerous vacation policy, plus holidays Estimated Starting Salary RangeThe estimated starting salary range for this role is $198,000- $228,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO StatementThe Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discriminat