
iSono Health
AI-powered platform for Accessible and Personalized Breast Health…
What iSono Health does
The iSono Health platform combines automated 3D ultrasound technology with cloud computation and artificial intelligence to empower women and their physicians with early detection and monitoring of breast cancer. Our patented compact ultrasound scanner captures 3D images through automatic scanning of whole breast volume in 1 min. The device connects to a smartphone/tablet/laptop and is controlled by our mobile app. The data is transferred to a secure cloud for image processing and storage. Our machine learning algorithm uses acoustic biomarkers to identify abnormal masses. Our platform’s automated operation and software expands ultrasound use in point-of-care diagnostics as well as monitoring of breast health at home, walk-in and mobile clinics. iSono Health offers women and healthcare providers : Safety: No Radiation Actionable Feedback with AI Fast: 2min Scan Easy to Use
3 open roles
What the role involves
Come join us to build an AI platform for accessible and personalized breast cancer screening to empower women with early detection of breast cancer. iSono Health is looking for a computer vision scientist to join as a key member of our small and growing team to develop state-of-the-art deep learning algorithms in computer vision for classification, localization, and segmentation on 3D ultrasound images produced by our novel wearable ultrasound scanner technology. If you are bright, motivated, interested in cutting-edge healthcare technology and want to make an impact on the lives of millions of women around the world, iSono Health is a place for you. What you do? Research and develop deep learning (DL) models in computer vision for lesion detection, segmentation and classification in ultrasound images. Write production quality code to deploy DL models on various compute platforms Develop algorithms and systems for 3D ultrasound image analysis and feature extraction Work with software & firmware engineers to integrate algorithms into a complete product Build tools and framework for efficient image annotation and DL training pipeline Benefits: Competitive salary and generous stock option plan; Medical, dental and vision insurance; Paid parental leave, vacation time and sick time; Opportunities to attend major scientific conferences and publish research papers; Huge company vision to make an impact on global health Awesome office located in South San Francisco with shuttle to BART and Caltrain;
What the role involves
Come join us to build an AI platform for accessible and personalized breast cancer screening to empower women with early detection of breast cancer. iSono Health is looking for a Manufacturing Engineer to oversee all aspects of product manufacturing and operation collaborating closely with the engineering team and suppliers to establish efficient processes. Your role will involve designing, engineering, validating manufacturing and testing fixtures, and documenting and refining reliable processes for component and system-level assemblies. You will also ensure compliance with regulatory standards, fostering efficiency and excellence throughout the production lifecycle. If you are bright, motivated, interested in cutting-edge healthcare technology and want to make an impact on the lives of millions of women around the world, iSono Health is a place for you. What you do: Develop DFx (Manufacturing, Assembly) input to enhance manufacturability and product cost Define and establish manufacturing processes, procedures, and production layouts for parts and assemblies, ensuring regulatory compliance. Provide hands-on leadership and participate in assembly tasks on the production line during production ramp-up as needed to troubleshoot issues, validate process improvements, and support production goals. Serve as a technical resource for production staff, providing on-the-job training and support. Incorporate inspection and test requirements into production plans. Design and develop test fixtures for engineering and manufacturing applications. Oversee the complete documentation process for DMR and DHR, including manufacturing work instructions, inspection and test specifications, and travelers. Ensure accurate data entry and seamless management within the quality and MRP database platform. Refine BOMs, workflows, and detailed work instructions to reduce manufacturing costs and increase efficiency. Inspect machinery, equipment, and tools to verify efficiency and investigate deficiencies; initiate corrective actions to ensure product quality. Provide technical support for failure analysis of discrepant production components, assemblies, and field returns. Offer strategic guidance to leadership on manufacturing build strategies, capacity expansion, and overall operations planning. Identify, research, develop, and qualify premier part manufacturers and suppliers; establish supply chain requirements and manage supplier relationships. Report on key manufacturing metrics and KPIs regularly. Travel up to 20% as required. Minimum Requirements: Bachelor’s degree in mechanical, manufacturing, industrial, or materials science engineering. 5+ years of experience in a manufacturing role. Proficiency in CAD software (e.g., SolidWorks, Pro-Engineer). Strong understanding of manufacturing processes (e.g., injection molding, machining, stamping, laser welding, ultrasonic welding). Solid foundation in the design, fabrication, and assembly of complex electromechanical assemblies, including knowledge of mechanical assembly techniques and test methods (e.g., gage R&R analysis, DFx, and lean principles). Strong technical skills in prototyping, tooling development, process engineering, and troubleshooting. Excellent communication skills to effectively interface with technicians, product development, planning, purchasing, regulatory, inspection, clinical marketing, and supplier teams. Strong interpersonal skills with the ability to lead and inspire teams. Preferred Requirement: Experience in electromechanical new product introduction (NPI). Background in ISO 13485 medical device manufacturing or a similar regulated industry. Experience collaborating with electrical and systems engineers to design automated PCBA test fixtures. Proficiency in process characterization and validation using statistical tools. Benefits: Competitive salary and generous stock option plan; Medical, dental, and vision insurance; Paid parental leave, vacation time, and sick time;
What the role involves
iSono Health is a dynamic and rapidly growing early clinical-commercial stage medical device company dedicated to saving lives and transforming care through innovative robotics, AI, and 3D ultrasound technologies. At iSono Health, we're pioneering a new era of breast care. We believe every woman deserves access to fast, affordable, and comfortable screenings. That's why we developed ATUSA, the world's first AI-powered platform with a point-of-care, automated 3D ultrasound system. To succeed here, you need to think like an entrepreneur, act like a leader, and execute with precision. We value individuals who take initiative, embrace challenges, and are excited to wear multiple hats. Creativity, resilience, and a commitment to excellence are essential as we push the boundaries of what’s possible in healthcare. Our work is exciting because it’s meaningful. Together, we’re empowering women to take control of their health by expanding access to potentially lifesaving ultrasound technology. If you’re passionate about making a difference and ready to be part of a nimble, scrappy team that values impact over hierarchy, iSono Health is the place for you. At iSono Health, success isn’t just about the work—it’s about the mindset. We’re a small but mighty team of dedicated individuals driven by a shared mission: revolutionizing women’s health and making a profound impact for patients and clinicians. With big ambitions and innovative plans, we thrive in a fast-paced, dynamic environment where every team member owns what they build. Join us in transforming healthcare and be part of a team where every voice matters, every idea counts, and every action contributes to a greater purpose. Key Responsibilities Cloud Infrastructure Design, develop, and maintain scalable and secure cloud infrastructure for ATUSA cloud-based web application.on Google Cloud Platform (GCP) with a focus on scalability, security, and observability Implement secure, scalable, and reliable APIs and backend services. Implement and maintain authentication, authorization, logging, and monitoring systems to ensure secure, compliant, and reliable operation Implement infrastructure-as-code and automate deployments using Docker and Kubernetes. Ensure compliance with security, privacy, and regulatory standards (HIPAA, GDPR, SOC 2, etc.) Web Application Development Develop and maintain responsive and performant web applications using modern frameworks and RESTful APIs (Python, JavaScript, Node.js) Optimize performance across backend services, data pipelines, and frontend interfaces for storage, retrieval, and visualization of 3D imaging. Collaborate with UI/UX designers and frontend engineers to build intuitive and responsive UI and deliver seamless user experiences for clinicians. Troubleshoot and optimize performance of cloud infrastructure and web services Participate in code reviews, testing, and continuous integration/deployment. Data Pipeline & MLOps Design and implement robust data pipelines for ingesting, transforming, and storing large datasets. Collaborate with Advanced Imaging and AI teams to deploy, monitor, and manage ML models in production. Automate model training, evaluation, and deployment processes Cross-functional Collaboration Work across disciplines to drive architecture decisions and best practices. Mentor junior developers and contribute to a culture of technical excellence, architectural decisions, code reviews, and technical documentation Collaborate with Product, Marketing and Clinical teams to define and prioritize customer requirements Develop internal web interfaces and admin portals for clinical research, application and marketing teams Required Skills & Experience BS/MS in computer science with 5+ years of experience, with strong exposure to both cloud infrastructure and full-stack development. 5+ years of experience in software engineering, with strong exposure to both cloud infrastructure and full-stack development. Expertise in
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.