Predictive battery management software for electrified fleets.
We're looking for a multidisciplinary software and algorithms engineer who can draw from academic literature, practical engineering tools, and domain-specific data and models to design, analyze, and improve control algorithms in battery management.
Zitara's software spans cutting-edge battery science, high-performance data infrastructure, complex modeling and learning systems, and safety-critical onboard firmware. We're looking for a software engineer who can work across these areas of expertise to build the algorithms behind our core.
In this role, you will work closely with our battery scientists and controls engineers to scale up our simulation and prediction software. You will also have the opportunity to work with our embedded team to adapt the algorithms you design for running in real-time battery management systems.
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. Their customers operate >$100M deployments of batteries in satellites, EVs, and renewable energy storage installations.