We are seeking a highly skilled Software Engineer with expertise in embedded systems, computer vision, and real-time surgical applications on the NVIDIA Jetson platform This role involves integrating advanced imaging modalities (eg, microscope, ultrasound) and building end-to-end solutions for intraoperative navigation in surgical fields Key Responsibilities: Design and optimize real-time neuro-navigation software on NVIDIA Jetson platforms (eg, AGX Orin, Xavier) Implement, integrate, and optimize existing computer vision, sensor fusion, and deep learning algorithms and models Integrate the system with intraoperative hardware such as surgical microscopes, ultrasound, and external tracking systems (eg, optical or electromagnetic) via APIs and frame grabbers Maintain modular architecture for calibration, data registration, and basic user interface interactions Interface software with medical imaging and tracking hardware via USB, Ethernet, and GPIO Perform performance optimization using CUDA, TensorRT, JetPack, and debugging/testing with limited real surgical data Perform unit testing, real-time debugging, and validation with synthetic and real surgical data Support documentation in line with IEC 62304 and ISO 13485 under supervision Required Skills Qualification (clear expectations): Bachelor's or Master's degree in Software Engineering, Computer Science, or a related field 3+ years of experience in embedded systems, preferably in a medical device or robotics environment Embedded systems expertise (Jetson, JetPack SDK) Experience integrating medical imaging and tracking hardware Proficiency in C++, Python, CUDA, Linux Preferred (clearly secondary): Experience with neuro-navigation or surgical robotics Familiarity with medical imaging libraries (eg, ITK/VTK) Exposure (not expertise) to medical regulatory standards What We Offer: Opportunity to build a cutting-edge surgical platform with real clinical impact Work with cross-functional teams including surgeons, biomedical engineers, and AI scientists Access to state-of-the-art hardware and test labs Competitive salary and benefits
We are seeking an experienced Embedded Engineer with with a strong background in medical image visualization, optical imaging, and embedded software technologies You will lead the design and integration of advanced image visualization solutions for surgical applications, combining real-time imaging, computer vision, and 3D model rendering on the NVIDIA Jetson platform This role is ideal for someone who thrives at the intersection of hardware-based imaging systems and high-performance visualization software, from integrating surgical cameras and medical imaging to optimizing real-time rendering pipelines for intraoperative use Key Responsibilities Design, implement, and optimize real-time medical visualization pipelines on NVIDIA Jetson platforms (eg, AGX Orin, Xavier Integrate and synchronize multiple imaging modalities (surgical microscopes, endoscopes, ultrasound, external tracking systems) into cohesive visualization environments Develop and optimize 3D rendering, image processing, and augmented reality overlays for intra-operative guidance on video feed Implement algorithms for camera calibration, image registration, and fusion of multimodal medical data Interface directly with imaging sensors, frame grabbers, and APIs via USB, Ethernet, and GPIO Perform performance optimization using CUDA, TensorRT, JetPack, with focus on low-latency and high-fidelity renderingConduct validation with synthetic and real surgical imaging data under clinical workflow constraints Contribute to IEC 62304 and ISO 13485-compliant documentation for imaging software modules Required Skills Qualifications Bachelors or Masters degree in Computer Science, Biomedical Engineering, or related field 3+ years of experience in surgical visualization, and high-performance graphics Strong embedded systems skills (Jetson, JetPack SDK) Proven expertise in integrating and optimizing camera-based or optical imaging systems Proficiency in C++, Python, CUDA, Linux Solid understanding of real-time rendering, image processing, and visualization frameworks (eg, OpenGL, VTK, ITK) Preferred (Secondary) Experience with surgical navigation or AR-based medical visualization Knowledge of optical system design and calibration Familiarity with DICOM standards and medical imaging formatsExposure to medical regulatory standards (ISO 13485, IEC 60601, IEC 62304) What We Offer Opportunity to create cutting-edge surgical platforms with tangible impact in surgical care Work closely with surgeons, biomedical engineers, and AI experts from the top universities in the world in a collaborative setting Access to advanced imaging hardware and RD facilities Competitive salary, benefit, growth and career building opportunities