Full Stack Software Engineer

Role Summary

We are seeking an experienced Full Stack Software Engineer to build foundational applications powering our BCI product ecosystem. In this role, you will build high-performance user interfaces and backend services that bridge device telemetry, real-time neural data, and cloud connectivity. You will collaborate closely with cross-functional teams to translate complex clinical requirements into secure, high-reliability software features.

Role Responsibilities

● Full Stack Development: Design, implement, and maintain high-quality software principally in Rust in a desktop environment, and occasionally including server and web interfaces.

● System Architecture & APIs: Design and implement robust APIs, secure data flows, and scalable solutions for real-time and batch time-series data.

● Cross-Functional Collaboration: Partner closely with firmware, ML, clinical, and product engineering teams to integrate client and server software seamlessly across the broader device ecosystem.

● Engineering Excellence & Process: Champion best practices across code quality, modular architecture, comprehensive documentation, and automated testing suites.

● Quality & Regulatory Compliance: Author and maintain design documentation, specifications, and verification protocols in alignment with medical software design controls.

Required Qualifications

● Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience.

● 3 years of production software engineering experience spanning full-stack application development.

● Strong proficiency in Rust or a similar language, with proficiency in Python.

● Demonstrated experience with systems design, data flow architecture, performance-critical code, and API design.

● Clear understanding of software quality practices, automated testing, and CI/CD pipelines in production environments.

● Excellent communication skills and comfort driving technical solutions independently in an early-stage hardware/software environment.

Preferred Qualifications

● Direct experience developing medical device software under design controls and quality standards (e.g., IEC 62304).

● Hands-on experience building HIPAA-compliant platforms handling sensitive data (PHI / PII).

● Familiarity with biological sensor data, time-series data, or neurophysiological signal processing workflows.

● Experience implementing cybersecurity best practices for connected device ecosystems.