Front End Engineer - User Interface

About the role

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 neural tracking flagship user interface.

• Implement real time visualisations for high dimensional data streams using websockets and performance oriented charting libraries.

• Collaborate with product, design, and ML engineering teams to deliver cohesive web experiences.

• Optimise performance for critical web components, particularly focusing on improving ARS (Application Response Speed).

Your background looks something like:

• 4+ 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 optimising 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 optimisation 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 decode neural syntax in order to bridge the gap between biological and artificial intelligence.

We are dedicated to redirecting technology to maximise human potential. At the heart of our mission is support for cognitive liberty - the fundamental right to freedom of thought, mental privacy, and self-determination.

About the interview

• Initial Screen: 20 minute discussion to ensure timelines, experience and expectations align.

• Technical Screen: Take-home OR 1:15h live IRL or Google Meet.

• Final Round: Technical design questions (1hr), Product sense (30 min), Q&A (15min).