Software Engineer

About Sunairio

As the world transitions to renewable energy, the global economy will become more dependent on weather than at any point since the Industrial Revolution. And due to climate change, the weather that our future economy is tied to will be drastically different from the weather we’ve historically experienced. This means that managing weather-based risk, and weather-based variability is the number #1 challenge facing the energy grid. 

Sunairio’s mission is to disrupt weather prediction as we know it to build the most advanced platform for valuing, managing, and operating renewable energy. Instead of relying on physics-based weather models that are bias-prone and slow, we use machine learning and advanced statistics to generate high-fidelity simulations of future weather risk–and we do this on multi-year timescales at hourly (or less) resolution. We work with renewable energy project developers, storage operators, energy buyers, energy suppliers, portfolio managers, traders, and utilities to deliver actionable insights into the hardest energy problems.  

The founders of Sunairio have decades of experience building decision models to anticipate weather risk in energy markets, and we’re now seeking exceptional, intrepid, and entrepreneurial-inclined people to form the core of our technical team. This core team will be responsible for laying the building blocks of a world-class back-end architecture and user interface that elevates Sunairio from a revolutionary algorithm to an industry-defining technology. 

What we offer:

• The opportunity to join an industry-disrupting startup on the ground floor–with significant equity compensation
• The focus to work on innovative solutions to problems of critical importance
• A truly collaborative team environment
• The ability to help shape company culture
• Amazing swag
• Competitive salary

Key Responsibilities 

• The Software Engineer will be responsible developing multiple back end processes that (among other things):
• Maintain data pipelines to numerous internal and external sources
• Organize near-petabyte scale data stores and architect efficient querying solutions
• Run hybrid ML/statistical models and store gigabyte-scale output
• Deliver results to front-end processes 
• Create or collaborate with contractors to develop a front-end user interface and user experience

What we’re looking for

• Passion for building a new solutions to climate & energy problems
• 5+ years of experience building production systems for commercial software 
• Expertise in big data environments (Hadoop/Spark/Kafka/Hive), cloud (AWS, GCP), database (postgres), and serverless architecture
• Experience with the Python scientific computing environment (Pandas/Numpy/SciPy/Xarray) 
• Degree (M.S. preferred) in Computer Science, Physics, Math, or an engineering discipline
• Experience with high-performance computing a plus
• A creative problem-solver with outstanding communication skills and a commitment to technical excellence
• Intellectual curiosity