Senior Software Engineer - Australia
neara · Remote
Experience: Senior
Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. ABOUT THE ROLE As a Senior Software Engineer, you will be designing and implementing features in one of our engineering groups: Digitisation: generate digital twins from various data sources using a mix of machine learning, algorithms and work on tooling to correct bad extractions as fast as possible. Platform: provide the API surface for organisations to extract the most value out of the data hosted on the Neara platform. Work on our internal expression language and work with customers and other teams to identify the abstractions we need to provide. Design: take digital twins (or prospective designs) and analyse the viability of designs, from load analysis on infrastructure to identifying the resilience of the electric network to extreme weather events. WHAT YOU WILL DO Digitisation Develop and measure algorithmic/ML improvements to digital twin extraction. Improve monitoring to identify when our sys