A natural match if you have experience in medical software and systems design.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Echo Neurotechnologies via Greenhouse
Company Overview
Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.
Team Culture
Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.
Role Summary
We are seeking a Senior Full Stack Software Engineer to architect and drive the execution of core applications powering our BCI product ecosystem. In this role, you will take technical ownership of end-to-end full-stack architectures, building high-performance desktop applications, cloud services, and user interfaces that stream and process device telemetry and real-time neural data. You will act as a key technical leader across the software team, driving architectural decisions, mentoring engineers, and collaborating with cross-functional partners to translate complex clinical requirements into dependable, commercially ready medical software.
Role Responsibilities
● Full Stack Architecture & Execution: Architect, implement, and maintain complex software applications across desktop, web, and cloud environments, in Rust, Python, and TypeScript.
● System Design & API Ownership: Design, build, and optimize scalable system architectures, robust APIs, secure data pipelines, and high-performance data stores capable of handling real-time biological time-series data.
● Technical Leadership & Mentorship: Mentor and develop fellow engineers through regular code reviews, technical coaching, and architectural guidance, elevating engineering standards across the team.
● Cross-Functional System Integration: Partner closely with firmware, ML, clinical, and regulatory teams to define system-level interfaces and seamlessly integrate client and server components into the broader hardware ecosystem.
● Engineering Best Practices: Introduce and foster engineering rigor, emphasizing modular architecture, automated testing, CI/CD pipelines, usability, and long-term maintainability.
● Quality & Regulatory Compliance: Lead the authoring of formal software design specifications, risk analyses, and verification protocols in alignment with medical software design controls (e.g., IEC 62304).
Required Qualifications
● Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience.
● 5+ years of production software engineering experience spanning full-stack application development, with a proven track record of taking complex software products to production.
● Expertise in Python and at least one other core language used in high-performance or modern systems (e.g., Rust, TypeScript).
● Demonstrated mastery in systems design, distributed data flows, performance-critical code optimization, and resilient API design.
● Solid track record as a technical lead or task owner with a strong passion for mentoring peer engineers.
● Deep understanding of software quality methodologies, automated testing frameworks, and release pipelines in production environments.
● Excellent cross-functional communication skills and comfort driving technical direction in a fast-paced, multidisciplinary environment.
Preferred Qualifications
● Direct experience developing medical device software under medical quality management systems and lifecycle regulations (IEC 62304, ISO 13485, ISO 14971).
● Hands-on experience architecting HIPAA-compliant systems handling sensitive medical data (PHI / PII) in cloud environments.
● Familiarity with biological sensor data, time-series signal processing, or neural signal workflows.
● Practical knowledge of cybersecurity best practices for connected device ecosystems (e.g., PKI, secure boot, encrypted transport).
Salary$180,000—$220,000 USDWhat We Offer
An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.
Competitive compensation, including stock options.
Comprehensive benefits package.
401(k) program with matching contributions.
Equal Opportunity Employer
Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.
Confidentiality
All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.