Senior Optimization (Operations Research) Engineer

Senior Optimization Engineer (Operations Research)

Location: Houston, TX

ABOUT FLUENCE 

Fluence, a Siemens and AES company, is a global market leader in energy storage products and services, and digital applications for renewables and storage. The company has more than 3.4 GW of energy storage deployed or contracted in 29 markets globally, and more than 4.5 GW of wind, solar, and storage assets optimized or contracted in Australia and California. Through our products, services and AI-enabled Fluence IQ platform, Fluence is helping customers around the world drive more resilient electric grids and have a more sustainable future. To learn more about Fluence, please visit: fluenceenergy.com 

ABOUT THE POSITION:

As a Senior Operations Research 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.

What Will Our Ideal Candidate Bring to Fluence?

•Experience: 5 Bachelor’s degree with 5+ years, Master’s degree with 3+ years, or PhD with 2+ years of experience developing optimization models, preferably in energy systems.

•Optimization and Software Development: Experience deploying optimization models written in Python to production, using commercial solvers (e.g., Gurobi, Xpress, CPLEX) and following software development best practices such as version control, CI/CD, and testing.

•Programming Skills: Advanced proficiency in Python for developing, deploying, and maintaining optimization models, and familiarity with containerization tools and orchestration platforms like Kubernetes.

•Education: An advanced degree (Master’s or PhD) in Operations Research, Computer Science, Electrical Engineering, Mathematics or a related field is preferred.

•Collaboration: Demonstrated ability to collaborate with cross-functional teams and build strong working relationships.

•Agile/Lean Product Development: Experience working and delivering products or services in an agile/lean environment.

•Communication: Excellent communication skills, with the ability to clearly articulate complex technical concepts to diverse audiences.

Preferred Skills and Qualifications

•Electricity Market Design Expertise: Comprehensive knowledge of electricity market structures and bid optimization strategies across global markets, including the nuances of market design variations in the US, Europe, Australia, and beyond.

•Energy Industry Knowledge: In-depth knowledge of the energy industry, with expertise in deregulated electricity markets such as CAISO, ERCOT, MISO, PJM, NEM, or Japan.

•Stochastic and Convex Optimization: Strong comprehension of multi-stage stochastic optimization within the realm of energy systems and familiarity with convex optimization methodologies, including linearization techniques.

•Risk Management and Hedging Expertise: Profound understanding of risk management principles and strategies to mitigate price volatility and uncertainty across sequential markets. Experience designing and implementing hedging techniques that optimize revenue while minimizing exposure to market risks  to ensure robust decision-making under uncertainty.

•Additional Expertise: Familiarity with using game-theoretic models to inform decision-making processes is a plus.

At Fluence we are dedicated to building a diverse, inclusive, and authentic workplace; if you are excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply! 

 #energy #sustainability #inclusionmatters  

Fluence Career Page: Fluence CareersFluence