Senior Optimization Engineer

Fluence is the leading global energy storage technology and services company, created and backed by Siemens and AES, two industry powerhouses and pioneers in energy storage. Fluence unites the scale, experience, breadth, and financial backing of the two most experienced icons in energy storage.

Our mission is to create a more sustainable future by transforming the way we power our world. Energy storage is critical to this transformation, yet today the market is fragmented and customers face the challenge of finding a trusted technology partner amidst conflicting technical claims, inexperienced vendors and installers, and new market entrants with limited power sector knowledge.

Fluence brings the proven technology solutions and services that overcome the commercial and regulatory barriers that stand in the way of modernizing our energy networks. We are the partner that can deliver at a global scale with the most experienced and knowledgeable team in the world.

 

We are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed.

Fluence currently has thousands of MW of energy storage projects operated or awarded worldwide in addition to the thousands of MW of projects managed by our trading platform—and we are growing every day.

Fluence is defined by its unwavering commitment to safety, quality, and integrity.

We achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams.

We value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all. 

ABOUT THIS POSITION

Location: HYBRID (2-3 days in onsite) in Houston, TX

As a Senior Optimization Engineer, you will provide technical leadership and collaborate with cross-functional teams to enhance and guide our market-leading optimization and bidding product, Mosaic, which is designed for renewable energy and battery storage assets in electricity markets across the globe. You will identify the most impactful projects, address challenges proactively, and successfully deliver key initiatives. Additionally, you will mentor and coach team members across the Optimization, Forecasting, and Analytics teams.

Key responsibilities include:

•Optimization Model Development: Translate market rules into asset scheduling and dispatch optimization models, ensuring compliance and efficiency in bidding and dispatch operations. 

•Forecast Integration: Partner with the Forecasting team to define requirements for generating probabilistic Energy, Ancillary Service, and other electricity market price forecasts, integrating them seamlessly into optimization workflows.

•Data Preparation and Integration: Develop processes to read and transform market data and asset information into formats suitable for optimization models and ensure that optimization outputs are transformed and stored according to database schemas.

•Optimization Performance Analysis: Conduct in-depth analysis of daily optimization results to identify potential enhancements in algorithmic strategies. Continuously evaluate and adapt the optimization approach to align with evolving market dynamics, ensuring the platform remains agile and maximizes revenue opportunities for customers under emerging price regimes and market conditions. Leverage insights to proactively refine bidding strategies and maintain a competitive edge in global electricity markets.

•Platform Improvement: Collaborate with other Optimization Engineers to continuously enhance and maintain Fluence’s Mosaic market bidding platform for battery storage and renewable assets in global electricity markets.

•Software Development Best Practices: Evangelize and implement software development best practices, including version control, CI/CD, and testing frameworks, to improve the scalability and maintainability of optimization applications.

•Model Deployment: Create, deploy, and optimize containerized solutions for scalable optimization environments. Leverage platforms such as Kubernetes to ensure efficient and reliable deployment of optimization models.

•Infrastructure and Automation: Design and implement CI/CD pipelines for automated model and code deployment, ensuring reliable and repeatable workflows for testing and production rollouts (e.g., CircleCI).

•Performance Optimization: Monitor and adjust deployed models and workflows to ensure reliability, scalability, and performance, making incremental improvements as needed.

•Collaboration and Integration: Work closely with cross-functional teams, including data scientists, engineers, and product stakeholders, to integrate optimization systems effectively into broader applications.

•Team Leadership and Culture: Model and cultivate a culture of inclusivity, trust, exceptional communication, collaboration, respect, continuous learning, and enthusiasm for innovation and problem-solving.