Build, test, debug, and maintain wearable optical/electronic neuroimaging hardwareSupport prototype iteration, including electronics integration, enclosure/interface refinement, and bench validation. Develop and maintain software for data acquisition, quality control, preprocessing, visualization, and experiment support. Assist with real-time or near-real-time processing pipelines and decision logic for adaptive experiments. Support human-subject studies, including setup, instrumentation, troubleshooting, documentation, and data quality tracking. Create and maintain clear technical documentation, SOPs, and onboarding materials for others in the lab. Help coordinate project timelines, milestones, dependencies, and deliverables across multiple projects. Track action items and follow-up needs across collaborators, trainees, and lab personnel so that work does not stall. Contribute to figures, methods, technical reports, progress updates, and manuscripts as appropriate. Supervisory Relationships: This position does not have supervisory responsibility; this position reports administratively and functionally to the lab PI. Qualifications. Bachelor's or Master's degree in biomedical engineering, electrical engineering, computer engineering, physics, neuroscience engineering, or a related field is required. Strong hands-on experience with at least some combination of sensing systems, electronics, embedded systems, instrumentation, signal processing, or scientific software is required. Proficiency in Python and/or MATLAB is required. Demonstrated ability to debug technical problems systematically is required. Strong organizational skills, attention to detail, and ability to keep complex workstreams moving is required. Ability to work independently while coordinating across interdisciplinary collaborators is required. Experience with wearable sensing or neurotechnology is preferred. Experience with optical systems, photodiodes, light sources, biomedical instrumentation, or physiological signal acquisition is preferred. Experience with PCB/system bring-up, embedded communication, or hardware-software integration is preferred. Experience with computer vision, UI development, or AR-guided workflows is preferred. Experience supporting human-subject experiments is preferred. Familiarity with f. NIRS, EEG, MRI, or other neuroimaging modalities is preferred. Experience serving in a project-management or operations-support role in a research environment is preferred.