Tenaska, Inc

Optimization Engineer

Tenaska, Inc • $90K — $120K *
Irving, TX 75061In-Person
Energy & Utilities
Less than 5 years of experience
1 month ago
Job Overview by Ladders

Qualifications

  • Undergraduate degree in Physics, Mathematics, Engineering, or related fields; graduate degree preferred.
  • Advanced experience with optimization tools like CPlex, HiGHS, and Gurobi.
  • Strong programming skills in Python, focusing on Data Science and Optimization.
  • Experience with commercial and open-source power system modeling software is a plus.
  • Solid background in Deep Learning algorithms and Reinforcement Learning.
  • Experience with machine learning libraries like PyTorch and data preparation concepts.

Responsibilities

  • Collaborate with the Strategic Technology VP to enhance optimization technologies for energy problems.
  • Support R&D of new optimization algorithms for business challenges.
  • Develop software for optimization and prediction models.
  • Build systems for simulation and back-testing of models.
  • Create reports to assess the real-world performance of trained models.
  • Take on additional projects as assigned.
  • Maintain dependable and predictable attendance.

Benefits

  • Comprehensive health, dental, vision, disability, and life insurance.
  • Excellent 401(k) plan and incentive-based salary packages.
  • Health and dependent care flex accounts.
  • Tuition assistance for educational growth.
  • Long-term disability coverage and adoption benefits.
  • Employee assistance program for personal welfare.
  • Paid vacations and holidays, along with maternity/paternity leave.
  • Participation in wellness and charitable giving programs.
Full Job Description
Position Summary:

The Optimization Engineer will support the development of new and existing optimization and forecasting algorithms and related technologies.

Essential Job Functions:
  • Work with Vice President, Strategic Technology and team to design, implement and improve optimization technologies around various energy-related problems.
  • Support research and development of new optimization algorithms and implementations when required to solve specific business problems
  • Develop necessary software for optimization and prediction models.
  • Design and build necessary systems for simulation and back-testing of optimization and prediction models
  • Develop reports to evaluate real-world performance of trained models
  • Other projects as assigned
  • Dependable, reliable, and predictable attendance is required

Knowledge, Skill, and Abilities:
  • Applicants must be authorized to work for any employer in the U.S. The Company is not able to take over sponsorship of an employment visa at this time for this position or commit to doing so in the future for individuals with current authorization to work via, for example, CPT or OPT, and would need sponsorship in the future.
  • Undergraduate degree in Physics, Mathematics, Engineering or related fields and 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. preferred but not required.
  • 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.
  • Able to quickly learn necessary skills and information to be effective in position where necessary.
  • Curious, inquisitive, creative, exploration-driven, and self-motivated with a passion for applied Machine Learning and optimization.

Benefits:

At Tenaska we care about the wellbeing of our employees and their families. That's why we offer our employees a comprehensive benefit package. Benefits included below:
  • 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

About Tenaska, Inc

Tenaska is a private energy company that develops, constructs, and operates power plants and natural gas pipelines. The company also provides energy marketing and risk management services. Tenaska has developed approximately 10,000 megawatts of electric generating capacity across the United States. The company's customers include utilities, municipalities, and industrial companies. Tenaska was founded in 1987 and is headquartered in Omaha, Nebraska.
Learn more about Tenaska, Inc
Size
700 employees
Industry
Energy & Utilities
Founded
1987
* Ladders Estimates

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