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Software Engineer - San Francisco, United States - Byterat
Description
Byterat (YC W23) is the modern cloud platform for battery data analytics in R&D and production.Byterat directly synchronizes data from lab hardware to the cloud and analyzes it to unlock hidden insights connecting design to performance.
We're a team of physicists, software engineers and computer scientists (with backgrounds from Cambridge, Carnegie Mellon, Rivian, AWS etc) united by a passion for helping battery engineers innovate and scale their technologies more quickly and joyfully.
OUR MISSION
Batteries play a fundamental role in tackling climate change.
$73B was invested in US battery plants in 2022, and battery company revenue is expected to grow >5x over the next decade.
Global carmakers alone are forecast to spend $515B on electric vehicle and battery R&D by 2030. But battery engineers are currently underserved by software, relying on broken legacy products to analyze their data.Byterat solves this problem with a modern cloud platform that allows teams to analyze data from thousands of parallel experiments and unlock previously hidden insights connecting battery design to performance.
THE ROLE
You will have the autonomy to design/implement cornerstones of the Byterat platform, spanning from backend infrastructure for data analysis, to statistical models to correlate battery design with performance.
You'll also be helping to shape an exceptional engineering culture at Byterat and cultivate practices that will set us up for success.
WHO YOU ARE
1+ years software engineering experience, ideally in a "start-up" like environment where you have taken full ownership for projects and taken products from 0-1 and 1-10.
You are excited to move and grow fast, take ownership and challenge yourself in ways that are hard to replicate at other places.
OUR CURRENT TECH STACK
Django with heavy tasks on Lambda.
GraphQL Server Apollo Client
React, Apollo Client, Redux in Typescript on Next.
JS
Docker compose for dev, AWS and Terraform for staging / prod.
Event based processing and streaming ETLs
Single Table and Relational Database Models
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