qa engineer (auto) for computational algorithms

The team develops computational software for a client in the global medical technology sector. The product processes complex 3D geometry and numerical data to support digital manufacturing workflows.

• Design and run verification strategies for computational, geometric, and numerical algorithms, including 3D geometry, meshes, point clouds, and numerical pipelines
• Validate results against reference data, analytical solutions, golden datasets, and defined tolerances
• Check geometric correctness and consistency, including topology, watertightness, self-intersections, orientation, and dimensional accuracy
• Assess numerical stability, precision loss, sensitivity to input variation, and behavior on boundary and degenerate cases
• Build and maintain Python automation for data preparation, comparison, metric calculation, and regression testing of algorithm outputs
• Create and curate test datasets, including edge cases and synthetic data
• Write verification and validation documentation according to the client's QMS and regulatory guidelines, including test plans, test cases and protocols, V&V reports, test evidence, and requirements traceability
• Document defects and deviations with clear root-cause analysis and troubleshoot them with algorithm developers
• Participate in requirements reviews and help define measurable acceptance criteria for algorithm behavior
• Integrate automated validation into CI pipelines

• 4+ Years in software QA or test engineering, with a meaningful part spent testing computational, numerical, geometric, scientific, imaging, or simulation software
• Hands-on testing experience in at least one area: CAD/CAM/CAE, 3D geometry, mesh or point-cloud processing, image or signal processing (DSP), simulation or scientific computing, or other algorithm-intensive software
• Experience validating numerical and geometric data quality, including accuracy and tolerances, geometric correctness, numerical stability, edge cases, and comparison against expected or reference data
• Experience automating data-level validation of computational results, rather than mainly UI testing
• Strong Python scripting skills
• Ability to write clear, structured V&V documentation with full traceability
• Strong analytical, mathematical, and troubleshooting skills
• Degree in Computer Science, Mathematics, Physics, Engineering, or a related field
• Fluent English, written and spoken
• Будет плюсом: experience with 3D libraries such as trimesh, Open3D, VTK, or PyVista; 3D manufacturing, additive manufacturing, computational geometry, or digital manufacturing software; large or complex 3D or numerical datasets (STL, OBJ, PLY, point clouds, CT/scan data); regulated or quality-controlled environments (ISO 13485, IEC 62304, FDA 21 CFR Part 820, ISO 14971); familiarity with C++ codebases; CI/CD tools (GitLab CI, Jenkins, Azure DevOps) and test management tools (Jira/Xray, Polarion, TestRail)

• Условий в вакансии нет