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Principal Vision Developer

Seattle, WA

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.

About The Role

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.

Responsibilities

Computer Vision & AI

  • Design AI systems comparing site images to BIM models for automated progress tracking
  • Build real-time video analytics detecting construction issues and design deviations
  • Train deep learning models (CNNs, YOLO, R-CNN, transformers) for object detection and segmentation
  • Develop defect detection for welds, concrete, and structural installations
  • Implement 3D reconstruction and photogrammetry for digital twins

Camera Systems

  • Deploy and manage multi-camera networks (fixed, PTZ, thermal, drone)
  • Integrate AI cameras into IoT sensor networks
  • Implement camera calibration, synchronization, and detection pipelines
  • Optimize bandwidth for large-scale video streaming

Safety & Quality

  • Build AI systems for PPE compliance detection (helmets, vests, glasses)
  • Develop perimeter monitoring and unauthorized access detection
  • Create automated safety violation alerts and hazard detection
  • Implement material classification and work package completion tracking
  • Build truck/material arrival detection at gates

Integration & Deployment

  • Integrate vision systems with Nuclear OS platform
  • Deploy models on edge devices, cloud, and hybrid infrastructure
  • Build APIs, microservices, and data pipelines
  • Create real-time dashboards for progress, safety, and quality metrics
  • Develop robotic vision for autonomous navigation and inspection

Leadership

  • Lead cross-functional teams (data scientists, engineers, domain experts)
  • Establish vision system standards for nuclear environments
  • Evaluate emerging technologies (foundation models, vision transformers)

Experience

  • 12+ years in computer vision, ML, or AI development
  • 5+ years in senior/lead technical role
  • Industrial, construction, or manufacturing experience preferred

Computer Vision

  • Expert: OpenCV, scikit-image, classical CV (SLAM, optical flow, feature extraction)
  • 3D vision: stereo vision, structure from motion, photogrammetry
  • Video analytics and real-time processing

Camera Systems

  • Camera integration, protocols (ONVIF, RTSP, GigE Vision)
  • Multi-camera synchronization, video compression (H.264, H.265)
  • VMS/NVR systems, bandwidth optimization

Machine Learning

  • Expert: PyTorch, TensorFlow, Keras
  • Architectures: ResNet, YOLO, Mask R-CNN, ViT
  • Model training, optimization, transfer learning

Programming

  • Expert: Python, C++
  • GPU programming (CUDA, cuDNN)
  • MLOps (MLflow, TensorBoard), Docker, Kubernetes
  • Cloud platforms (AWS, Azure, GCP)

Data & Infrastructure

  • Image annotation tools (Labelbox, CVAT)
  • Data pipelines, ETL, versioning (DVC)
  • Edge computing, model optimization (TensorRT, ONNX)

Domain

  • Construction processes, quality control, safety
  • BIM models, CAD, 3D visualization
  • Nuclear facility operations (preferred)

Preferred Experience

  • Ph.D. in Computer Vision/ML
  • Publications in CVPR, ICCV, ECCV
  • Nuclear/energy industry experience
  • Robotics or autonomous systems background
  • Open-source contributions

Benefits

  • Competitive compensation packages
  • 401k with company match
  • Medical, dental, vision plans
  • Generous vacation policy, plus holidays

Estimated Starting Salary Range
The 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 Statement
The 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 discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.

Export Control
Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.

Recruiting Fraud Alert

Your safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page: Careers

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