Full Stack Software Engineer

Echo Neurotechnologies
San Francisco, CA
On-site

Who this role is best for

Candidates with medical software experience and full-stack development skills will find this impactful role in the BCI domain.

Best fit for

  • Candidates with medical device software experience and a background in Rust and Python will thrive here.
    — “Preferred Qualifications: Direct experience developing medical device software under design controls”
  • Individuals who enjoy taking ownership of systems design and working in early-stage, high-impact environments are ideal.
    — “early-stage environment offers the opportunity to take ownership of broad decisions”

Things to consider

  • The role requires signing an NDA during the interview process, which may impact candidate comfort.
    — “Applicants may be asked to sign an NDA after the initial stages of the interview process”
  • The position demands adherence to medical software design controls and quality standards.
    — “Author and maintain design documentation, specifications, and verification protocols in alignment with medical software design controls”

How to stand out

  • Highlight your experience with real-time data systems and cross-functional integration in your resume and interviews.
    — “Design and implement robust APIs, secure data flows, and scalable solutions for real-time and batch time-series data”
  • Emphasize your ability to independently drive technical solutions in ambiguous environments.
    — “comfort driving technical solutions independently in an early-stage hardware/software environment”
  • Showcase your work with Rust and Python in full-stack contexts, especially in production environments.
    — “Strong proficiency in Rust or a similar language, with proficiency in Python”
  • Demonstrate familiarity with time-series data or signal processing workflows in your application materials.
    — “Familiarity with biological sensor data, time-series data, or neurophysiological signal processing workflows”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed high-performance user interfaces and backend services
  • Integrated client and server software across the broader device ecosystem
  • Championed best practices in code quality and automated testing
Typical background
Bachelor’s or Master’s degree in Computer Science or Software Engineering3+ years of production software engineering experience

Skills & requirements

Required

RustPythonFull Stack DevelopmentSystem ArchitectureAPI DesignAutomated TestingCi/cd Pipelines

Preferred

Medical Device SoftwareHipaa ComplianceBiological Sensor DataNeurophysiological Signal ProcessingCybersecurity

Stack & domain

RustPythonSystems DesignData Flow ArchitecturePerformance-critical CodeAPI DesignSoftware Quality PracticesAutomated TestingCi/cd PipelinesCommunicationMedical Device SoftwareNeurophysiological Signal ProcessingCybersecurity

About the role

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 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. 

Salary$160,000—$200,000 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.

Source: Echo Neurotechnologies careers (Greenhouse)

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