Optimization Engineer
TenaskaIrving, Texas, United States
Posted April 14, 2026
Full Time
About the Company
Tenaska is a major player in North America’s energy sector, operating across the entire value chain from development and acquisition to marketing and operation of natural gas and renewable power assets. The company manages an operating fleet of 6,622 MW and has developed over 23,000 MW of generation, while advancing more than 9,000 MW of new natural gas and energy‑storage projects. Tenaska’s dual focus on high‑quality power marketing through its subsidiaries, Tenaska Marketing Ventures and Tenaska Power Services, and on innovative, sustainable generation positions it as a leader in both traditional and clean energy markets. Its culture emphasizes operational excellence, strategic growth, and a commitment to delivering reliable, cost‑effective energy solutions.
Job Description
Tenaska is seeking an Optimization Engineer to support the development of new and existing optimization and forecasting algorithms and related technologies. The successful candidate will work with the Vice President, Strategic Technology and team to design, implement and improve optimization technologies around various energy-related problems.
Requirements
- Authorized to work for any employer in the U.S.
- Undergraduate degree in Physics, Mathematics, Engineering or related fields
- Graduate degree or equivalent professional experience in Operations Research, Electrical Engineering or related field with strong computer science training and experience
- Advanced-level experience with optimization tools such as CPlex, HiGHS and Gurobi
- Strong skills in applied computational mathematics, optimization, and simulation programming
- Experience with commercial and open-source power system modelling software such as Pandapower, PowerModels.jl, ETAP, PowerWorld, Plexos, etc.
- Strong experience with programming in Python with a focus on Data Science and Optimization
- Experience with cloud deployment, orchestration and operations of optimization models
- Strong background in Deep Learning algorithms as applied to optimization and control problems with specific experience in Reinforcement Learning and other training methods
- Experience with machine learning libraries and algorithms such as PyTorch
- Experience with machine learning data preparation concepts (cross validation, folding, boosting, feature engineering) with clear understanding of time series related concerns
Benefits
- Health, dental, vison, disability, and life insurance
- Excellent 401(k) plan
- Incentive-based, competitive salary packages
- Health/dependent care flex accounts
- Tuition assistance
- Long-term disability coverage
- Adoption benefits
- Employee assistance program
- Paid vacations and holidays
- Charitable giving program
- Paid maternity/paternity leave
- Wellness programs
