Zitara Technologies builds battery management software for companies with large deployments. Customers across industries (EVs, satellites, renewable energy storage) rely ...View Company Profile
In order to keep climate change to 1.5°C, we’ll need 30% of global GDP (all of energy generation and transportation) to run on batteries by 2035.
Zitara Technologies (YCombinator S20) builds predictive battery management software for transportation and energy customers with large deployments. Our customers operate >$100M deployments of batteries in satellites, EVs, and renewable energy storage installations.
Our team brings top researchers in physics-based battery algorithms together with seasoned software engineers to build safety-critical firmware and large scale machine learning systems. We bring with us decades of experience from companies like Tesla, Facebook, and Google.
Zitara has one of the most comprehensive battery performance datasets in the world, consisting of terabytes of electrical and thermal battery data from fleets of devices in the field and battery systems in our lab. Zitara builds thousands of battery models on top of these datasets, and these models enable our customers to use their batteries more safely and efficiently.
As a member of the Platform Team, you will work closely with lab test engineers, battery algorithms engineers, and machine learning engineers to build the powerful, flexible, and user-friendly systems that substantially increase the scale and speed at which we can collect data and create cutting-edge battery models.
Build Zitara’s internal API infrastructure and tooling to expose our battery data to our web app, and ensure our APIs are secure, reliable, and performant
Collaborate with cross-functional teams to design and implement scalable solutions that manage complex, highly structured data sets with domain specific requirements
Create services and libraries that enable battery algorithm engineers and data scientists at Zitara to prototype, train, and deploy battery models across Zitara’s systems
Provide mentorship and technical guidance to more junior engineers on the team
5+ years of experience building Python software applications in large scale distributed systems
Strong understanding of data modeling, database design, and SQL
Familiarity with the full life cycle of software development, from design and implementation to testing and deployment
A love for our planet and a desire to contribute to solutions that address the climate crisis
Preferred Additional Qualifications
Familiarity with data platform and machine learning systems and technologies
Experience with cloud-based technologies such as AWS, Azure, or GCP
Experience with containerization technologies such as Docker and Kubernetes
What We Offer
Salary Range $160,000 to $210,000 annual base
Health, Dental, and Vision care for you and your family
401K savings plan
Unlimited vacation policy
An altruistic company mission
Excellent colleagues that are interested in your happiness and growth