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 CultureJoin 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.
Job SummaryWe are seeking an experienced software engineer, with a focus on supporting science and engineering R&D, to join our team. The person who fills this role will apply software engineering principles and practices to designing and developing flexible data pipelines, user interfaces, and software utilities for use within brain-computer interface research and applications to enable real-world impact on patients with severe disabilities. They will need to have experience with building robust systems and tools from scratch, spanning various programming languages and domains.
Key ResponsibilitiesDevelop data pipelines to handle ingestion and export of a variety of datasets to support collaborative research efforts
Create frameworks for acquisition and processing of real-time data streams a variety of digital sensors, including microphones and cameras
Support the design and development of user interfaces for brain-computer interface applications, co-designed with potential end users of the company’s products
Integrate custom software applications with various operating system APIs and features, including accessibility features
Work collaboratively within a small team to develop software and R&D workflows and integrate contributed code into larger code bases
Maintain versioned, clear, and highly documented design documents, code, and testing results for maximum interpretability and reproducibility
Bachelor's or Master's degree in Computer Science, Engineering, Neuroscience, or other relevant field
A minimum of 1 year of academic or industry software engineering experience contributing to R&D efforts
Proficiency in Python
Familiarity with at least one low-level language, such as C, C++, or Rust
Excellent communication and collaboration skills to work effectively on cross-functional and interdisciplinary teams
Experience having technical ownership over at least one successfully implemented collaborative project
Experience contributing to brain-computer interface applications
Experience creating pipelines for time-series data streams
Experience designing user interfaces to support R&D efforts
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.
Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.
ConfidentialityAll applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



