Computational Power Systems Engineer Advisor

ENGIE • Houston, TX

49d • Hybrid

About The Position

As a Computational Power Systems Engineer Advisor at ENGIE Energy Marketing North America (EEMNA), you will lead the development of high-performance simulation tools that model the physical and operational behavior of the electric grid. Working closely with the Head of Market Analytics, data scientists, and software developers, you will design scalable grid dispatch simulations and optimization algorithms that inform real-time decision-making and long-term planning for our energy platforms. This role is ideal for an experienced engineer with a strong foundation in power systems, optimization, and numerical modeling. You will work on highly technical challenges, combining simulation, mathematical programming, and distributed computing in a fast-paced and collaborative environment. Reporting to the Head of Market Analytics, your roles and responsibilities include:

Requirements

• Minimum of a Master's degree in Electrical Engineering, Power System Engineering, Mathematical Optimization, or related field
• A minimum of seven (7) years of experience writing electrical simulation code
• Proficiency with Economic Dispatch, DC Optimal Power Flow, Unit Commitment, and Constraint/Contingency Analysis
• Background in optimization, numerical methods, and uncertainty quantification
• Proficiency with mixed integer linear optimization
• Proficiency in a programming language such as Python.
• An understanding of distributed computation and parallel computing
• Ability to clearly document and explain complex technical methodologies to non-technical stakeholders
• Strong attention to detail and a collaborative, team-first mindset

Responsibilities

• Writing, refining, and supporting computational electrical grid simulation software
• Working with development teams to optimize computational simulations to run distributed on the cloud
• Leveraging real-world data and mathematical knowledge to create approximations of grid dispatch simulation
• Working with fellow data science team members to combine physical and mathematical simulations to develop AI models of the grid
• Evaluating, quantifying, and monitoring model performance and simulation uncertainty
• Interfacing with business units to better understand use cases and critical components in which forecasts and simulation output will be leveraged

Benefits

• comprehensive benefits package includes options for medical, dental, vision, life insurance, employer-paid short-term and long-term disability insurance, ESPP, generous paid time off including wellness days, holidays and leave programs
• 401(k) Retirement Savings Plan with a company match
• supplemental benefits for full time employees that enhance emotional and physical well-being through all stages of life from family forming to caregiver benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Merchant Wholesalers, Nondurable Goods
• Number of Employees: 5,001-10,000 employees