Job Title: Principal Engineer - 3D Coronary Imaging Company Name: ComKardia Job Url: https://www.simplyhired.com/job/GYdyrtp1u88GNxg62YWq3xsuGArOUsSN1xjGh-oID0alM6kAjQnNzg Job Description: Principal Engineer - 3D Coronary Imaging ComKardia Remote Job Details Full-time $135,000 - $160,000 a year 16 hours ago Qualifications System design Scalable systems Solution architecture design Model deployment Geometry Algorithm design Optical coherence tomography (OCT) Scalability Senior level Rendering AI Full Job Description Principal Engineer & Architect - 3D Angio, IVUS, and Mapping & Meshing (M&M) Team: Digital Twin Coronary Reconstruction & Multimodal Fusion Role Summary The Principal Engineer / Principal Architect will lead the architecture, technical strategy, and continuous optimization of the company’s core 3D reconstruction and multimodal fusion engines. This role owns the end‑to‑end technical integrity of the 3D Angio Reconstruction, IVUS 3D Reconstruction, and Mapping & Meshing (M&M) modules, the three foundational pillars of the ComKardia Digital Twin platform. You will work directly with the CTO and broader engineering team to define the long‑term technical roadmap, make high‑stakes architectural decisions, and ensure that the geometry and AI pipelines are robust, scalable, and clinically reliable. You will also lead and coordinate external 3rd‑party expert solution partners, ensuring their contributions integrate seamlessly into the company’s architecture and accelerate delivery of the DT‑CAR and DT‑IVR engines. A critical part of this role is owning the ongoing optimization of the AI models that feed each module, including Angio segmentation, IVUS segmentation, OCT segmentation, and any future models, ensuring they meet the accuracy, latency, and stability requirements for real‑time clinical use. What You Will Own 1. Architecture of the Digital Twin Geometry & AI Stack You will be the principal architect for all geometry‑related components and the AI models that support them, including: 3D Angio Reconstruction Pipeline Motion correction, multi‑view geometry, iterative optimization, spline smoothing, and branch alignment. IVUS 3D Reconstruction Pipeline Twist correction, side‑branch detection, rotational alignment, and frame‑to‑frame correlation. Mapping & Meshing (M&M) Module Mesh generation, topology correction, plaque material mapping, decimation, smoothing, and preparation for cFFR and PCI planning.You will own the technical direction for the AI models that generate the segmentation masks, landmarks, and material classifications that drive reconstruction accuracy.This includes defining model performance requirements, integration patterns, and the feedback loops needed to continuously improve model quality. AI Models Underpinning Each Module 2. Work Closely With the CTO Collaborate directly with the CTO on system architecture, module integration, and long‑term platform evolution. Co‑own the roadmap for reconstruction, fusion, and AI model optimization. Serve as the CTO’s primary technical lead for all geometry, reconstruction, and multimodal AI initiatives. 3. Lead External 3rd‑Party Expert Solution Partners Identify, evaluate, and manage specialized external partners in: VTK/VMTK and medical 3D visualization Computational geometry Multimodal registration GPU‑accelerated rendering AI model refinement and domain‑specific segmentation Provide architectural direction, integration guidance, and code review to ensure external contributions align with the company’s standards. Own the technical quality and performance of all partner deliverables. 4. Ownership of AI Model Optimization You will be responsible for the continuous improvement of the AI models that feed the reconstruction and meshing pipelines, including: Angio Segmentation Models Ensuring vessel path extraction, branch labeling, and foreground segmentation meet reconstruction accuracy requirements. IVUS Segmentation Models Overseeing improvements to lumen, wall, calcium, fibrous, and fibro‑lipid plaque segmentation, including the modified U‑Net with ConvNeXt blocks and self‑attention. OCT Segmentation Models Ensuring consistency, harmonization, and alignment with IVUS and Angio outputs. Managing label consistency across ARCADE, CBBL, and internal datasets.Reducing inference latency, improving robustness, and ensuring outputs are stable enough for real‑time clinical workflows.Designing pipelines that use reconstruction errors, fusion mismatches, and clinician corrections to drive model retraining and refinement.You are the technical owner of the AI → Geometry interface. Model Harmonization & Label Mapping Model Performance Optimization Feedback Loops 5. Advanced Algorithm Design & Innovation You will design and oversee implementation of algorithms for: Branch merging and topology correction Surface/skeleton algorithm improvements Multimodal fusion (Angio + IVUS + OCT) Registration and mesh merging Side‑branch frame/angle detection High‑performance 3D rendering and visualization Your work will directly support downstream modules such as Computational FFR, PCI Planning, and CDSS. 6. System‑Level Thinking & Cross‑Module Integration You will ensure that geometry and AI outputs are: Numerically stable Clinically interpretable Efficient for real‑time rendering Compatible across imaging modalities Structured for downstream analytics and decision support You will collaborate closely with AI, backend, and product teams to ensure seamless integration across the full product workflow. 7. Technical Strategy & Roadmap Ownership Define the long‑term architecture for company’s Digital Twin engines. Identify and derisk technical bottlenecks in reconstruction, fusion, and AI model performance. Drive the evolution of the geometry and AI stack toward scalability, modularity, and clinical robustness. Influence product direction through deep technical insight in partnership with the CTO. Why This Role Matters The remaining “heavy lift” workstreams in company’s roadmap (3D reconstruction, branch merging, multimodal fusion, registration, mesh merging, side‑branch detection, and AI model refinement) are all anchored in the modules you will lead. Your architectural decisions, in partnership with the CTO and external expert partners, will shape the accuracy, reliability, and clinical impact of the entire platform. This is a rare opportunity to architect the geometry and AI backbone of a next‑generation cardiovascular guidance system. Pay: $135,000.00 - $160,000.00 per year Work Location: Remote