Why this role stands out
As a Frontend Software Engineer at Piramidal, you'll have the opportunity to shape a groundbreaking product at the intersection of AI and neuroscience, driving impactful user experiences with real-time data visualizations. If you are a seasoned frontend engineer with deep expertise in React and NextJS, eager to optimize performance and collaborate with innovative teams, this role offers significant growth and the chance to contribute to a revolutionary field. Apply now to join a mission-driven company making a real difference in healthcare.
Quick overview
Job description
We are looking for a software engineer to help us build Piramidal’s flagship product. You'll be responsible for building and maintaining the system that enables performant web experiences for our users.
In this role you will:
- Design and implement Piramidal’s flagship user interface.
- Collaborate with product, design, and ML engineering teams to deliver cohesive web experiences.
- Implement real time visualizations for high dimensional data streams using websockets and performance oriented charting libraries.
- Optimize performance for critical web components.
Your background looks something like:
- 5+ years of practical experience as a frontend engineer.
- Deep expertise in modern JavaScript frameworks, particularly React and NextJS (ie, “backend-of-the-frontend” subject matter expertise).
- Experience optimizing web application performance and measuring metrics like ARS.
Strong candidates may have:
- Background in building infrastructure.
- Familiarity with frontend monitoring and alerting systems.
- Proficiency with TypeScript and strong typing systems.
- Experience with frontend performance optimization techniques on real-time data.
- A portfolio of high-quality, scalable web applications in production environments.
About Us
We are building a first-of-its-kind foundation model for electrophysiological brain data. Our goal is to create scaled neural decoders that enable humans to understand and control neural syntax. Our flagship product brings a state of the art seizure detection model into real time clinical workflows, helping clinicians detect and respond to seizures faster.
Interview Process
- Initial Screen: 30 minute discussion to ensure timelines, experience and expectations align.
- Technical Screen: 1hr live via Google Meet.
- Final Round: Technical design question (1hr),Product sense (30 min), Q&A (15min).
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