Senior Methods HW Modelling Engineer

Senior Methods HW Modelling Engineer Job Description Role purpose As a Senior MR Methods Hardware Modelling Engineer in the MR Domain Software team, you will develop, integrate and validate software models that represent MR hardware and system behavior.

Responsibilities

• You will connect hardware, physics, scanning, reconstruction and workflow software to support MR system performance, image quality, design decisions and verification.
• You will work closely with hardware and MR physics experts, while owning the software design solution, implementation quality, integration and validation of modelling capabilities.
• You will collaborate with global and local R&D teams across device control, scanning, reconstruction and system engineering.
• Your role Own the software design, implementation, integration and maintenance of MR hardware and system modelling capabilities.
• Translate MR hardware and physics behavior into robust software models that support device control, scanning, reconstruction, workflow and image-quality decisions.
• Develop reusable C++ software components, APIs, modelling workflows, configuration mechanisms and test frameworks; use Python and/or MATLAB for analysis, automation and validation.
• Integrate model outputs from hardware, electromagnetic, circuit or multi-physics experts into MR domain software; direct ownership of RF coil, gradient coil or magnet design is not required.
• Define model assumptions, accuracy targets, interfaces, verification methods and limitations; correlate model predictions with bench, scanner and phantom measurements.
• Develop data-driven, physics-based or hybrid models and support technical investigations, performance optimization and root-cause analysis.
• Ensure modelling software is performant, maintainable, testable and traceable, using sound software architecture, code review, CI/CD and version-control practices.
• Collaborate with MR physicists, hardware engineers, scanning and reconstruction engineers, system architects and clinical scientists; communicate findings clearly and comply with applicable quality processes.
• Experience developing simulation, modelling, computational-imaging or scientific-software products, including reusable APIs, libraries, workflows and configuration management.
• Practical Windows development experience, including Git, building systems, code review , unit/integration testing, CI/CD, profiling and debugging of complex multi-component (sub)systems.

Requirements

• You are the right fit if you have Bachelor's, Master’s or PhD degree in Computer Science, Software Engineering, Electrical Engineering, Biomedical Engineering, Applied Physics or a related field.
• Substantial professional software-development experience, including modern C++ design and implementation, debugging, testing, performance optimization and maintainable architecture.
• Proficiency in Python and/or MATLAB for numerical modelling, data analysis, automation and model validation.
• Ability to analyze complex technical problems, define interfaces and validation strategies, and communicate clearly in spoken and written English.

Preferred

• Experience with MRI/MR, CT, ultrasound, scientific instruments, robotics, industrial control, simulation software or computational imaging.
• Knowledge of MR image acquisition, MR system components, B0/B1 behavior, SNR, SAR, image artefacts or image-quality evaluation.
• Familiarity with electromagnetic, circuit or multi-physics simulation tools, such as ANSYS HFSS, ANSYS Maxwell, CST Studio Suite, COMSOL, SPICE or equivalent; the ability to consume and validate model outputs in software is more important than direct hardware-design ownership.
• Experience with GPU/CUDA, real-time software, numerical optimization, medical-device software or regulated high-technology product development is strongly preferred.
• What you will gain You will contribute directly to the development of advanced MR systems that support better diagnostic imaging and patient care.
• The role provides broad technical exposure across hardware, physics, software and clinical applications in a global MR R&D environment.