Software System Engineer (SSE)

Key Responsibilities

• Translate clinical use cases and user needs into clear design inputs and detailed software requirements
• Lead end-to-end agile product development—from concept and solution design through implementation, feature evaluation, and continuous improvement
• Partner with Product, Clinical, UI/UX, Architecture, R&D, and engineering teams to deliver cohesive, end-to-end clinical solutions that meet usability, performance, and workflow expectations
• Drive ML-based diagnostic initiatives from PoC through clinical evaluation, implementation, and productization
• You will work across R&D, product, system engineering, and field teams to ensure that clinical insights are effectively embedded into product decisions and feature development.
  
  

• Translate business initiatives, clinical workflows, user needs, and field insights into design input detailed requirements and feature definitions
• Ensure features deliver measurable clinical value and user impact

• Provide technical leadership for cross-functional epics spanning Algorithms, Front-End, Cloud Infrastructure, and third-party integrations
• Partner closely with Product, Clinical, UI/UX, Architecture, Algorithms, System Engineering, Cloud Infrastructure, and R&D stakeholders throughout the full development lifecycle
• Lead design discussions, story clarification, implementation alignment, feature readiness, and evaluation planning throughout development

• Analyze clinical usage data, feedback, and performance metrics to identify improvement opportunities
• Support data-driven decisions to enhance product performance and user experience
• Drive feature evaluation using clinical data, performance indicators, and structured feedback loops to validate product impact
• Contribute to iterative improvement of existing features and workflows

• Investigate customer and field issues impacting product usage
• Translate real-world feedback into actionable product and feature improvements
• Support root-cause analysis with a focus on product and workflow optimization

Skills, Knowledge & Expertise

• Bachelor’s degree in biomedical engineering or a related field
• 12+ years of experience in Clinical Applications, R&D, or System Engineering within medical imaging systems
• Strong understanding of medical imaging technologies and clinical workflows
• Proven ability to work effectively in cross-functional, collaborative environments, including product, engineering, field teams, and end users
• Strong analytical and problem-solving skills
• Proficiency with modern digital tools and AI-based solutions for data analysis and productivity
• Excellent communication skills in both English and Hebrew

• Master’s degree in Biomedical Engineering or a related field
• Hands-on experience with commercial medical imaging systems
• Exposure to AI-driven imaging solutions or advanced reconstruction techniques
• Experience working within global, matrixed R&D organizations