Founding Software Engineer

About Us
At NeuroSonic we are building the future of healthcare, developing the world’s most accurate stroke risk assessment system.

Our backers include those who were among the first to believe in SpaceX and Uber and those who have built businesses worth in excess of $20B from scratch.

We are an ambitious team of doers, on a mission to transform healthcare. Join us if you are a hard-working, mission-driven individual who loves making the impossible possible.

Job Overview
Our innovative technology centers around analyzing physiological signals to gain unique insights into cardiovascular disease states.

You should have expertise in signal processing and machine learning. You will develop a signal processing chain, optimizing the amount of useful information that can be extracted and utilized to build novel, and proprietary health prediction algorithms.

We offer:
Impact: This is not another AI agent or B2B SAAS that aims to automate paperwork and reduce workforces. You are saving lives.
Reward: Founding equity, competitive salary, ownership over your work, access to whatever resources you require to thrive, relocation support.
A journey: Gain exposure to each and every step of what it is like to build in healthcare.

Key Responsibilities
Immediate Focus (Months 1–6):
Design and build the end-to-end signal processing pipeline for vascular and physiological data.
Develop algorithms for noise reduction, filtering, signal enhancement, and signal rejection on real clinical datasets.
Design, train, and validate ML models for disease classification, working with limited patient data and identifying strategies to maximise model performance (augmentation, transfer learning, public data sourcing).
Build reproducible, version-controlled ML pipelines (data ingestion through deployment) ready for clinical validation.

Growing Into (Months 6–12+):
Define engineering best practices: testing, documentation, CI/CD, and development workflow.
Establish the versioning and compliance strategy as we move toward regulatory submissions.
Guide technical direction

Who you should be:
2-3+ years of industry experience building and deploying production level ML/signal processing systems.
Demonstrated track record of shipping
Comfortable working with small, messy, real-world datasets.
Self-directed problem solver
Strong Python skills. Familiarity with PyTorch, TensorFlow, scikit-learn, and signal processing libraries.
You write production-quality code: version control, testing, documentation, and reproducible pipelines are part of how you work.
Comfortable with ambiguity, rapid iteration, and wearing multiple hats. You have either worked at an early-stage company or have the disposition for it.

Nice to have:
Experience in developing/deploying machine learning models (edge and cloud deployment).
Familiarity with SaMD procedures to adhere to ISO and FDA requirements.
Cloud: AWS / GCP / Azure experience is a plus
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