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.
We're looking for a multidisciplinary software and simulation engineer who can draw from academic literature, practical engineering tools, and domain-specific data and models to design, analyze, and improve battery modeling and simulation software.
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 technology.
In this role, you will work closely with our battery scientists and controls engineers to refine and improve the robustness of 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.
Note: this position may be filled by a candidate either remote or hybrid in-person in our SF office. In-person candidates will be preferred, and remote candidates will need to demonstrate superlative organizational and communication skills.