Software EngineerSpectral AI, Inc. (Spectral) is seeking a software engineer to join our growing design and development team. The position is based in Dallas, Texas, with hybrid work flexibility in accordance with the Spectral Employee Handbook guidelines.
This position will assist in the integration of computer vision algorithms into our Windows-based DeepView AI software. This role focuses on bridging advanced GPU-based reconstruction and segmentation algorithms with a clinical production software system, ensuring performance, stability, and regulatory readiness.The software engineer will work closely with Data Science, Algorithm, and UI/UX teams to integrate 2D/3D segmentation, point cloud reconstruction, mesh generation, and visualization into a cohesive, multi-threaded GPU-accelerated workflow.Key Responsibilities:Point cloud reconstruction pipelinesMesh generation and texturing workflowsOpenGL-based visualization componentsWindows Software & C# IntegrationIntegrate GPU-accelerated algorithms into an existing Windows OS–based C# applicationCoordinate C# application logic with native GPU components (CUDA / TensorRT / OpenGL / Open3D)Support MVVM-based architecture, async workflows, and UI responsivenessGPU & Multi-Threaded System DesignWork with multi-threaded execution models:Background CPU threads for capture, processing, and data managementGPU streams for segmentation, reconstruction, and visualizationHandle GPU initialization, warm-up, memory allocation, synchronization, and data transferCoordinate CUDA ? OpenGL interoperability for real-time visualizationRequired QualificationsSolid understanding of 3D math (matrices, vectors, quaternions, transformations), Graphics pipelines, GPU architectureHands-on experience with one or more graphics APIs: OpenGL, Direct3D, Vulkan or MetalExperience integrating OpenGL/Vulkan with C# via OpenTK, Silk.NET, SharpGL, or custom interopUnderstanding of: OpenGL context creation and lifecycle and WGL / platform-specific context managementFamiliarity C#/.NET/C++, shader languages (HLSL, GLSL) in complex Windows desktop applicationsExperience with multi-threaded programming and async execution modelsExperience with 3D point clouds, meshes, and visualizationFamiliarity with ray tracing or projection of 2D masks into 3D spaceUnderstanding of mesh texturing, smoothing, and artifact handling is a plusPreferred Qualifications:Experience in medical device software developmentFamiliarity with regulated software environments (FDA, IEC 62304, ISO 13485)Solid understanding of medical imaging or computational geometry pipelinesExperience working alongside Data Science / Algorithm teamsFamiliarity with CUDA and Open3DExperience handling GPU memory transfer, synchronization, and performance optimizationExposure to Qt/C++ or cross-platform UI frameworks (future platform migration is a plus)Background in computer vision, photogrammetry, or 3D reconstructionRequired Education and Experience:Bachelor's degree or above in Computer Science, software engineering, Electrical/Computer Engineering, or a related field.3–5 years of proven experience working with 3D graphics, computational geometry, or imaging pipelines involving point clouds, meshes, or segmentation workflowsDemonstrated proficiency in technical writing, producing accurate, comprehensive, and well-structured documentation for software.Soft Skills:Excellent written and verbal communication skills in English.Detail-oriented, strong analytical and problem-solving skills.Ability to prepare quality software documentation suitable for regulatory review.Ability to collaborate across functional teams such as engineering, QA/RA, hardware, and clinical teams.Comfortable managing multiple concurrent security tasks.Physical Requirements:Prolonged periods of sitting at a desk and working on a computer.Off-hours support:Occasional support during off-hours for security events or release deadlines.Equal Employment Opportunity:Spectral AI, Inc.
is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.