Software Engineering Intern – Imaging & Systems

**Job description** neuro42 is a Bay Area medical technology company developing cutting edge medical imaging and surgical robotics platform. As a Software Engineering Intern at neuro42, you will support the development, testing, and validation of software for our portable MRI system and its integration with MRI-compatible surgical robotics. You will work closely with the software and imaging engineering teams on projects spanning geometric processing pipelines, neuroimaging analysis tooling, operator-facing interfaces, and test infrastructure. You will gain hands-on experience across the software development cycle within a regulated medical device environment, including requirements review, implementation, automated testing, verification, and documentation. The ideal candidate is a motivated undergraduate or graduate student with strong Python fundamentals, careful attention to correctness, and an interest in medical imaging, robotics, and clinical software. **Responsibilities may include, but are not limited to:** * Develop automated test infrastructure for the imaging-to-robot coordinate pipeline, including synthetic image volumes with known geometry, round-trip transform assertions, and regression suites covering LPS and RAS orientation conventions. * Support validation of automated neuroimaging segmentation output, including batch execution across case sets, quantitative scoring against reference labels, and preparation of comparison reports. * Assist with implementation and testing of scoped features in operator-facing software used during image-guided procedures. * Support software maintenance activities, including identification and removal of deprecated features, unused code paths, and legacy instrumentation. * Develop internal tooling to normalize hardware test output and vendor specification data into structured formats for engineering review. * Write and maintain unit, integration, and regression tests, and support continuous integration workflows. * Document design decisions, test procedures, defects, and troubleshooting activities, and assist in tracking their resolution. * Maintain organized project documentation, including test records, engineering notes, and issue tracking in Jira. * Collaborate with software, imaging, hardware, and robotics engineers during development and system integration. * Communicate project progress, test results, and technical findings to the engineering team and, when appropriate, company leadership. **Preferred Qualifications:** * Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related discipline. * Strong proficiency in Python, including NumPy and a testing framework such as pytest. * Familiarity with 3D medical image formats such as NIfTI or DICOM, and with at least one of SimpleITK, nibabel, ITK-SNAP, or 3D Slicer. * Working knowledge of linear algebra sufficient to reason about coordinate frames and homogeneous transformations. * Experience with version control and collaborative development practices, including code review. * Exposure to GUI development in Python or TypeScript is a plus. * Interest in medical imaging, MRI technology, surgical robotics, or clinical software systems. * Strong problem-solving skills and attention to detail. * Ability to work effectively both independently and as part of a multidisciplinary engineering team. * Strong written and verbal communication skills. *This internship requires at least 20 hours of work per week and provides an opportunity to gain hands-on experience developing and validating software for advanced medical imaging and robotic systems, while contributing directly to test infrastructure, tooling, and product development activities that the engineering team relies on daily.*