About the role
We are looking a full-stack software engineer to contribute to the development of neurotechnology applications for mental health. This position involves working with neural signal processing pipelines, developing backend software & architecture, building frontend of our web platform, integrating machine learning models for neurophysiological data analysis, and more.
We seek individuals who are passionate about neurotechnology, are excited by the technical and biological aspect of it, feel deep connection to potential impact it could have on improving patients' life and well being. Prior experience with biosignal analysis is not a requirement, but is a plus! You'll work alongside experienced engineers and researchers on active projects that bridge neuroscience, machine learning, software engineering, and clinical applications. The position requires a high degree of independence and initiative — we're looking for someone who will take ownership of their work, identify problems, and drive solutions forward.
About the company
Resonait is enabling a new paradigm of depression treatment and measurement. We are working at the forefront of innovation in the fields of mental health, neuroscience, and application of machine learning to neural signal processing. As an early-stage startup supported by government research funding, we're advancing neurotech applications in mental health with a small, focused team.
The team is composed of experts in neuroscience, machine learning, mental health, and medical device development. We bring together a diverse group of professionals who are passionate about advancing the understanding and treatment of depression through cutting-edge technology and research.
We offer direct involvement in active neurotech projects, mentorship from experienced researchers in neuroscience and machine learning, exposure to the full development cycle of a medical technology product, and experience working in a startup environment.
What you'll do
Build user interfaces and visualization tools for neurotechnology applications
Implement data processing pipelines for EEG or other neurophysiological signals
Develop and maintain software for neural signal acquisition and processing systems
Participate in code reviews and technical discussions with the engineering team
Document code and technical processes for ongoing project development
Work independently with minimal supervision while knowing when to seek guidance
What we're looking for
Background in computer science, software engineering, or related experience
Proficiency in Python and web development frameworks (Python and JS)
Familiarity with signal processing techniques
General understanding of Machine Learning concepts
Strong experience with version control (Git) and collaborative development practices
Genuine enthusiasm for neuroscience, biomedical engineering, or healthcare technology
Demonstrated ability to work independently and problem-solve
Comfortable with ambiguity and working in a fast-paced startup environment
What we offer
A high impact role shaping an early-stage startup
Salary package that offers meaningful equity in the business through our Employee Share Option Plan
Direct mentorship from experienced engineers and neuroscience researchers
Exposure to the full software development lifecycle in a medical device context
Opportunity to make meaningful contributions to mental health innovation
The chance to work on challenging problems at the cutting edge of neurotech
Job details
Position type: Full-time
Term: Initial 1-year fixed-term position supported by grant funding
Location: Hybrid, based in Sydney
Start date: As soon as possible