Top Tech Jobs & Startup Jobs

Own the behavior and delivery of device software features for regulated clinical products. Define detailed requirements, edge cases, acceptance criteria, prototypes, priorities, and roadmap contributions. Manage the Jira backlog, support release delivery, resolve feature questions with engineers, and translate customer and commercial needs into buildable software requirements. The role partners with product, project, commercial, and software teams and requires extensive use of AI tools and interactive prototyping.

Manage accounts payable, invoice coding, payment runs, bank and card reconciliations, cash transfers, supplier queries, and weekly cash reporting. Support month-end close through accruals, prepayments, and balance sheet reconciliations. Administer Xero and related finance applications, while identifying process improvements through automation and AI.

Serve as the technical authority for signal processing, inference, and machine learning systems that convert optical signals into clinical brain-monitoring measurements. Lead algorithms from research through validated production implementation, establish standards for uncertainty, calibration, reproducibility, and evaluation, and guide technical reviews, publications, patents, and regulatory documentation. Mentor data scientists and collaborate with R&D, Clinical, and Software Engineering teams.

Design and build a research platform for reproducible scientific analysis, including reprocessing pipelines, evaluation harnesses, cloud compute and data access, engineering standards, CI, testing, and regulatory traceability. Partner with scientists to create usable tooling, improve research-to-software workflows, mentor junior developers, and establish the platform engineering function. The role requires deep Python and experience with reproducible scientific or quantitative workloads.

Build and maintain on-device LLM software that transforms live neuromonitoring signals into actionable clinical insights. Responsibilities include AI integration, model evaluation, prompting, guardrails, inference optimization, medical device software development, cybersecurity and regulatory compliance, and fleet reliability. The role requires close collaboration with hardware, product, and clinical teams while ensuring safe, reliable performance on constrained hardware.