Jobs and Careers
FL
Senior Optimization (Operations Research) Engineer
FluenceUnited Statesfull_timeVerifiedPosted 27 Dec 2024
About the role
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
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
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s