Lead Front End Engineer

Atomic Tessellator (Headquarters: Remote)

Front End Lead Vue.js Three.js JavaScript HTML CSS UI Visualization 3D Rendering Simulation Materials Science AI Remote Web Platform Front End Engineer

Atomic Tessellator is building the world's fastest, most comprehensive materials design web platform, accelerated by A.I., giving materials scientists advanced tools for creation, testing, and evaluation of atomic structures. We are the world's most advanced materials science platform.

We're seeking a Lead Front End Engineer to spearhead our platform UI development using Vue.js. This is a key role where you'll take ownership of the user interface for our cutting-edge materials science platform.

Responsibilities:
* Lead the design and implementation of the platform's user interface using Vue.js.
* Solve the technical challenge of rendering complex atomistic simulations in a physically accurate, visually interpretable, and performant way, leveraging Three.js.
* Collaborate closely with the backend, data science, and infrastructure teams to integrate front-end components with APIs and simulation data.
* Ensure high performance, responsiveness, and usability of the web application.
* Contribute to the overall architecture and technical direction of the front end.

Requirements:
* Proven experience as a Front End Engineer, ideally in a lead role.
* Strong proficiency in JavaScript, HTML, CSS.
* Extensive experience with Vue.js.
* Demonstrable experience with Three.js for 3D rendering and visualization.
* Experience with building complex, data-intensive user interfaces.
* Familiarity with performance optimization techniques for web applications.

About You / Team Fit:
* You thrive in a fast-paced environment and have a hacker mentality.
* You value taste and strive for high-quality user experiences.
* You are comfortable working in a small, tight-knit, global, remote team of 5.
* You are a generalist who isn't afraid to tackle new challenges and takes pride in being one.
* You have excellent communication skills.
* You are excited about tackling audacious goals in materials science and AI, moving at unreal speeds with a talented team.

Our platform allows users to perform AI Assisted Similarity Search, upload their own structures or query our database, refine and verify simulations via GPU acceleration, combine simulations into complex workflows via a user-friendly GUI, and fork simulations. We support deployment on private K8s or managed public clouds (AWS, Azure, GCP).