Global Edge is an international staffing firm connecting projects worldwide with the industry’s most talented project professionals. We work with high-level technical and commercial personnel across multiple industries including Oil and Gas, Energy, Renewables, Infrastructure, Automotive and Motorsports, IT, Marine, Mining, and more. With offices strategically located worldwide, Global Edge is known for the highest level of delivery for our clients and contractors.

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Power Systems Optimization Researcher

 

 

Position Overview

 

Our team is looking for a

Power Systems Optimization Researcher

. This is a

1-year contract role, full-time (8 hours/day)

. While we prefer candidates who can work

at or near San Francisco, CA

, or from our

Houston, TX office

, we are also open to

fully remote

work within the U.S. The salary range for this role is

$125-$165k/year

without markups, and

no relocation is offered

. We are looking to interview candidates

ASAP, ideally next week.

As a Power Systems Optimization Researcher, you'll be a

technical leader

in the simulation and optimization of power systems, energy storage, and other flexible assets. You'll coordinate closely with internal branches like Renewables USA, OneTech R&D, and other technical lines, and work with external research partners including universities, national labs, and startups. Expect to travel approximately

15% of the time.

 

Responsibilities and Essential Duties

 

You'll drive key projects within the

R&D Distributed Energy Resources (DER) Program

and the

US R&D Power roadmap

, serving as a

subject matter expert

in power systems and renewable/energy storage optimizations for both internal partners and stakeholders. A core part of your role will be to

develop model-based and/or machine learning-based optimization algorithms

for energy management and dispatch strategies of energy storage, microgrids, and virtual power plants (VPPs). You'll also create

model-based and/or machine learning-based forecasting methods for renewable energy production and demand prediction.

Staying ahead of the curve, you'll conduct

technology and innovation watch

, performing extensive scouting to conceive new methods, procedures, and policies. You'll actively

participate in R&D collaboration projects with internal and external academic partners, contributing to technical/scientific content and securing intellectual property rights whenever possible. This includes coordinating plans with internal R&D teams, managing technical progress and associated data/codes/reports, testing and maintaining codebases, and supporting internal technology transfer. You'll also be responsible for converting complex data and research findings into innovation briefings and written reports, presenting key results to project stakeholders. Ensuring proper follow-up on project costs, milestones, and result relevance is crucial. Finally, you'll carry out HSE initiatives, comply with safety requirements, and adhere to US laws and company directives.

According to your experience, you'll manage research and development work in coordination with your direct manager and Program Manager. You'll also have the opportunity to represent the group at an international level, enhancing the company’s scientific image. This is a critical role that directly supports an ambitious strategy to achieve

100 GW of renewable energy by 2030

, instrumental in accelerating renewable development in the company’s Research & Technology USA, which serves as the US hub for the firm’s global research activities. This position will focus on developing advanced optimization techniques to drive key business decisions. It is a

transversal role within an international environment

, requiring strong skills in

optimization (linear programming, machine learning)

,

data science (e.g., Python, pandas)

, and

digital tools (e.g., APIs)

. You'll need a solid understanding of

electrical grid infrastructure

and major

US power markets (i.e., ERCOT, CAISO, PJM), and will maintain regular relations with other R&D teams as well as business teams.

 

Qualifications

 

• Education: M.S. in Electrical Engineering, Computer Science/Engineering, Materials Engineering, Energy & Power Systems, or a related field of study.

• Experience:

  • 5+ years of experience in a field related to power systems (modeling, analysis, optimization, etc.).

  • Experience in

    smart grid innovation (transmission and distribution power systems modeling, renewables and energy storage modeling and optimization, and/or demand-side management).

  • Proficiency in

    linear optimization and machine learning techniques; experience in artificial intelligence is a plus.

  • Demonstrated research creativity (e.g., publications, patents) in the

    simulation and optimization of complex power systems.

  • Experience in

    software programming and simulation tool development

    , with strong coding skills in

    Python, Julia, and/or MATLAB, including proficiency in common libraries for data science and optimization.

  • Experience working with

    US electricity market data is a plus (ERCOT, PJM, CAISO preferred).

• Language: Fluent in English; knowledge of French is a plus.

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Global Edge Group, LLC is an Equal Opportunity Employer. The Global Edge Group, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.