Sr. Algorithm Validation Engineer– 3D & Computer Vision

Department: Research & Development

Location: EMEA-Israel-Caesarea

Description

Do you want to join an international team within an innovative fast-paced medical device company? Grab the opportunity and make good use of your Mathematical and programming skills and affinity to medical device

Key Responsibilities

• You will define and execute the automation strategy for validating 3D and computer vision algorithms.
• You will develop robust 3D and computer vision algorithmic tests.
• You will drive adoption of statistics based best practices for algorithm quality assurance and continuous integration.
• You will integrate validation processes into CI/CD environments for rapid feedback and deployment readiness.
• You will define robust statistics based KPIs, metrics, and benchmarks for complex algorithmics pipeline accuracy, robustness, and computational efficiency using synthetic and real-world data-driven validation workflows
• You will build automated reporting dashboards/reports to track validation results and highlight anomalies.
• You will participate in design reviews to influence algorithm development from a validation perspective.
  
  

• At least M.Sc./BSc. in one of: Computer Science, Mathematics, Physics, Electrical engineering
• At least 8 years of experience in one or more of the following fields: 3D computational geometry, Computer stereo vision or structured light, image processing,
• High proficiency in C++, Python
• Inquisitive fast self-learner
• Good team player, open to new ideas
• 3D computer graphics, Machine Learning, high performance computing - advantage
  
  

• At least BSc/MSc in Computer Science, Electrical Engineering, Physics, or related field (PhD preferred).
• At least 6 years of experience in algorithm development, algorithm validation, automated testing.
• Proven experience with 3D reconstruction, computer vision, and machine learning algorithms.
• Knowledge of statistical validation methods and performance benchmarking.
• Strong programming skills and hands-on experience in Python (C++ is a plus).
• Experience with test automation frameworks (e.g., PyTest) and CI/CD tools.
• Familiarity with computer vision libraries (OpenCV), 3D libraries (Open 3D, MeshLab) and ML frameworks (TensorFlow, PyTorch), Knowledge of 3D geometry processing and related data formats (meshes, point clouds, registration).
• Background in data science, statistical data analysis, data visualizations and report generation
• Experience in medical imaging or regulated environments – an advantage
• Familiarity with cloud-based validation environments and distributed testing – an advantage