Staff Optimization Engineer

OUR CULTURE AND VALUES

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.

We are Leading

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.

We are Responsible

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

We are Agile

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

We are Fun

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 the Position:

Location: Houston TX (Hybrid: 2-3 days in a week)

As a Staff Optimization Engineer, you will provide technical leadership and partner with cross-functional teams to develop and guide our market-leading optimization and bidding product, Mosaic, for renewable energy and battery storage assets in the US Markets. You will be able to identify the most impactful projects, proactively remove impediments, and successfully drive towards key initiatives. In addition, you will provide mentorship and coaching to other members of the Optimization, Forecasting and Analytics teams.

Key responsibilities include:

• Work alongside other Optimization Engineers to continually improve and maintain Fluence’s Mosaic market bidding platform for battery storage and renewable assets

• Translate market rules into asset scheduling and dispatch optimization models

• Collaborate with forecasting team to define requirements for generation of probabilistic Energy, Ancillary Service and other electricity market price forecasts

• Evangelize and implement software development best practices in optimization and bidding applications

• Work with Software Engineering, product and forecasting teams to design, deploy monitor and improve optimization and bidding model performance

• Model and cultivate a culture of inclusivity, trust, exceptional communication, collaboration, respect, continuous learning, and enthusiasm for our work

What will our ideal candidate bring to Fluence?

• 8+ years of industry experience developing optimization models, preferably in service of solving bidding and dispatch problems
• Knowledge of the energy industry
• Working knowledge of software engineering best practices as applied to optimization problems
• Previous experience deploying optimization models written in Python using commercial solvers such as Gurobi, Xpress, CPLEX, etc. to production
• Demonstrated ability to collaborate with cross-functional teams and build solid working relationships
• Experience working and delivering products or services in an agile/lean environment
• Excellent communication skills
• An advanced degree (Masters or PhD) in Operations Research or related field preferred




• Nice to haves:
• Familiarity with using game theoretic models to inform decision-making processes is a nice to have
• A solid comprehension of stochastic optimization within the realm of energy systems
• Familiarity with convex optimization methodologies, and linearization techniques

Here are some of the benefits of joining our team:

· Collaborative and supportive work environment

· Opportunities for professional development and growth

· Chance to make a real difference in the world

Fluence IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.