Optimization Engineer

• Leading new modeling initiatives end-to-end: This includes conducting relevant domain research, formulating mathematical models, and owning their implementations in code.
• Performance engineering: Improve model formulations and investigate analytical decomposition approaches that can speed up time-to-solution in a live bidding system that must communicate with market systems on strict timelines.
• Supporting decision interpretability and model introspection: Assist internal and external stakeholders with interpreting decisions from the battery dispatch model, building an intuitive understanding of relevant constraints and opportunity costs.
• Enhancing and stewarding system reliability: This includes debugging production issues, ensuring that dispatch models handle anomalous third party and sensor data properly, and improving model observability, all in service of minimal system downtime.

This role contributes to making cutting-edge models accessible to cross-functional teams so that companies can build and operate more renewable energy more profitably, directly supporting the transition to clean energy infrastructure.

• 3+ years of energy systems optimization experience
• Experience with Python and the CVXPY framework, especially deployed in a production context
• Ability to work cross-functionally, synthesizing insights from non-technical team members and external parties to craft well-designed models
• Passion for working in clean energy
• Experience with robust optimization and/or stochastic optimization approaches for modeling risk and uncertainty
• Experience with solver performance optimization for solving large problems efficiently

• Salary: $160k-$200k
• Parental leave, medical benefits, unlimited PTO, and a bakery below our HQ
• Opportunity to own a stake in the company through an employee stock option plan
• Hybrid work model, remote work options, and team offsites

Tyba is a modeling platform for energy companies developing, financing, and operating renewable energy infrastructure. Their mission is to make cutting-edge models accessible to cross-functional teams so that companies can build and operate more renewable energy more profitably.