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Ndeva in Melbourne is building a portable MR brain scanner for mobile deployment in hospitals. We are seeking the first Software Team Lead to own software end-to-end, set the architecture, and establish IEC 62304 processes to support FDA submission.
You'll lead a small team of embedded Linux and FPGA engineers, make cloud and device architecture decisions, and drive the delivery of the software programme against the clinical roadmap in a regulated medical device environment.
A medical device company building a portable magnetic resonance brain scanner, one that gets wheeled to the patient instead of the patient being taken to the scanner.
The first application is acute stroke. When someone arrives in an emergency department with stroke symptoms, a non-contrast CT reliably shows a bleed but not a clot, that needs contrast, which isn't available in every hospital and is harder again after hours. The scanner is used post-CT while the patient is already waiting, so the result reaches the neurologist inside the window where it changes the decision. Today only 1.5% of stroke patients are treated inside that window.
The device already works and has been used on patients in a completed feasibility trial at a major Melbourne hospital. What the company doesn't yet have is a software function that can carry an FDA submission.
This is the first Software Team Lead. You'd own software end to end, set the architecture, stand up IEC 62304 for software, and build the team from here.
You'd inherit two experienced engineers, one embedded Linux, one FPGA and embedded.
Most likely a C++ Linux application developer who has done real embedded work and has dabbled in cloud - you've got your own AWS account, you've built something in React or Vue, you understand how the pieces fit.
You’ll also have:
IEC 62304 experience is what they'd most like to see. If your background is heavy avionics or another safety-critical standard, they're comfortable you'll analogise across. Exposure to medical imaging — MRI, CT or X-ray — is a bonus but not required.
A device that already works and has been used on patients, funding through the next clinical milestone, and a software function that is yours to define. You'll have real authority over architecture, platform, process and hiring. And if you haven't taken a device through to FDA before, this is where you do it.