# 🔥 Lead Frontend Engineer (React.js) 🔥

**Company:** [Mat3ra](http://jobs.workable.com/companies/5QewSnGL5YXHu1Pmfi97sT.md)
**Location:** San Francisco, United States
**Workplace:** on site
**Employment type:** Full-time
**Department:** R&D

[Apply for this job](http://jobs.workable.com/view/d5c7a9fe-2dad-463b-901e-b860cdfbcc7d)

## Description

### Overview  

We look for Senior Engineers looking for challenging work to bridge the gap between materials/chemistry, AI/ML , and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals. More about our codebase and team on [our GitHub page](https://github.com/Exabyte-io).

Work will focus on (1) building 3D and 2D design applications for nanoscale materials and chemistry, (2) organizing the data produced by the models and experimental validation, (3) implementing world-class UX for the initial focus set of platform users.

Successful candidates will continue into leadership roles as we grow.  
This is a full-time permanent position.

###   
Responsibilities

-   software development
-   product design and concept development
-   work closely with the product team, relay and explain software concepts

###   
Why Join

-   see the results of your creative work used directly by the world's leading enterprises
-   realize your ambitions and directly define how materials research is done in the future
-   work with top-tier human capital in research, engineering, and venture capital

## Requirements

**Engineering**  

-   JavaScript/React.JS (advanced)
-   MacOS/Linux/Bash (advanced)
-   MongoDB/JSON (intermediate)
-   Meteor.JS (desired)

**Other**

-   ability to learn and apply new concepts rapidly
-   extreme attention to details

**Plus**

-   familiarity with AWS EC2, Microsoft Azure
-   familiarity with SaltStack or similar
-   knowledge of chemistry/materials science
-   work on advanced electronic structure methods (VASP, Quantum ESPRESSO, Gaussian, NWChem, Siesta, or similar) is not required but is a plus
-   experience with machine learning

## Benefits

**Company Benefits Include**

-   Health Care Plan (Medical, Dental & Vision)
-   Retirement Plan (401k, IRA)
-   Life Insurance (Basic, Voluntary & AD&D)
-   Paid Time Off (Vacation, Sick & Public Holidays)
-   Short Term & Long Term Disability
-   Training & Development
-   Work From Home
-   Free Food & Snacks
-   Wellness Resources
-   Stock Option Plan

**Compensation**

-   $120,000 - $180,000 salary range
-   0.25 - 0.75% stock options