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.