Senior Software Engineer, Computation

As a Senior Software Engineer on the System Design Pod, you'll help build the next generation of PV and storage design tools at Aurora. You'll lead technical features from discovery through general release, propose new mathematical approaches to long-standing problems, and push our simulation and optimization work forward alongside a team that cares deeply about getting it right.

This role sits at the intersection of software engineering and applied math, with a direct line to the quality of every project designed on the platform. The technical and business contexts are steep at first, and the payoff is real: you'll move the accuracy and capability of solar design forward for thousands of installers and millions of homeowners.

Design, build, and maintain the backend systems and computation engines behind Aurora's solar and electrical design workflows

Advance our simulation and optimization work across PV and battery storage system layout, component selection, and electrical configuration

Partner with product managers, designers, research engineers, and fellow engineers to turn complex physical models and engineering constraints into reliable, scalable software

Shape the architecture of our simulation and computation infrastructure so it stays correct, fast, and maintainable as it grows

Write clean, well tested code and raise the engineering bar through the patterns you establish

Mentor teammates and show up fully in technical discussions, code reviews, and design documents

Own the services you build end to end, including on-call rotation

5+ years of professional software engineering experience with a strong backend foundation

Academic background or equivalent skillset in computational mathematics, optimization, linear algebra, control theory, or numerical algorithms

Hands-on experience with simulation or optimization

Experience designing and building APIs, microservices, or data pipelines at scale

Sharp algorithmic thinking, with the ability to reason about performance, correctness, and edge cases in computational systems

Proficiency in one or more backend languages. Our stack is C++, Python, and Ruby, and relevant experience in other languages is welcome

Strong written and verbal communication. You can explain complex technical ideas clearly and collaborate well on a distributed team

Advanced degree (MS or PhD) in computer science, applied math, electrical engineering, physics, or a related field

Familiarity with solar PV and battery technology, or electrical engineering concepts more broadly

Experience with cloud-native compute infrastructure and batch or distributed processing systems

A genuine pull toward renewable energy and the work of accelerating the transition

Track record of thriving when the pace picks up and the problem space shifts