Power System Research & Development Engineer (Contractor)

TotalEnergies; Houston (TX); On-site; USD 90,000 - 110,000; Full time

Job summary

A global energy company in Houston is seeking a Power System Research & Development Engineer to innovate in electricity markets and contribute to renewable energy initiatives. The ideal candidate will have a Master's degree in a relevant field, with 3+ years of experience in power systems, optimization, and forecasting. Responsibilities include developing advanced modeling tools and collaborating with diverse teams to enhance electricity market solutions. Strong programming skills in Python or MATLAB are preferred.

Qualifications

• 3+ years of experience in power systems or electricity markets (modeling, optimization, forecasting, analytics).
• Strong quantitative background in statistics, data science, and optimization.
• Proficiency in machine learning techniques.

Responsibilities

• Serve as a subject-matter expert in power system forecasting, optimization, and market analytics.
• Design and develop automated modeling and analytics tools.
• Work closely with internal business teams, global R&D colleagues, and external partners.

Skills

Power system forecasting

Optimization

Market analytics

Machine learning

Data science

Education

M.S. degree in Electrical Engineering or related field

Tools

Python

Julia

MATLAB

Job description

At TotalEnergies, research doesn’t live on the shelf—it shapes investment decisions, asset strategies, and the future of energy systems worldwide. You’ll work in a fast‑paced, multicultural environment where innovation is expected, autonomy is valued, and your ideas can scale globally. If you want your research to influence how energy is produced, traded, and delivered—this is where it happens.

We see the power grid as the backbone of the energy transition—and we’re building the tools that will shape its future. The Power System Research & Development Engineer will be passionate about electricity markets, data‑driven optimization, and advanced modeling, working at the intersection of power systems, data science, optimization, and AI to translate research into real‑world tools that guide renewable energy, storage, and flexible assets at scale. Your work will directly support TotalEnergies’ ambition to reach 100 GW of renewables and flexible power worldwide by 2030.

What You’ll Do

Lead Innovation in Power System Intelligence

• Serve as a subject‑matter expert in power system forecasting, optimization, and market analytics for internal teams.
• Develop machine learning, AI, and optimization algorithms to improve asset dispatch, portfolio management, and system efficiency.
• Apply advanced statistics, time‑series analysis, and data science techniques to unlock insights from complex electricity market data.

Build Tools That Scale

• Design and develop automated modeling and analytics tools used across multiple electricity markets.
• Support the industrialization and production deployment of research tools in collaboration with cross‑functional teams.
• Test, maintain, and evolve codebases to ensure research outputs become reliable business solutions.

Collaborate at the Frontiers of Energy Research

• Work closely with internal business teams, global R&D colleagues, and external partners including national laboratories and universities.
• Contribute to joint R&D projects and help shape the technical and scientific direction of future energy solutions.
• Translate complex research into clear recommendations, executive briefings, and strategic insights.

Profil du candidat

What You Bring (Required)

• M.S. degree in Electrical Engineering, Energy & Power Systems, Computer Science/Engineering, Civil & Environmental Engineering, or related field.
• 3+ years of experience in power systems or electricity markets (modeling, optimization, forecasting, analytics).
• Strong quantitative background in statistics, data science, and optimization.
• Proficiency in machine learning techniques.

Preferred

• Experience in smart grid innovation (renewables, battery storage, demand response, forecasting, optimization).
• Strong programming skills in Python, Julia, and/or MATLAB, including data science and optimization libraries.
• Experience with time‑series analysis and market or trading signals.
• Working knowledge of U.S. electricity markets (ERCOT, PJM, CAISO).
• Experience applying AI or deep reinforcement learning to power system problems.
• French proficiency is a plus.

Informations supplémentaires

TotalEnergies valorise la diversité, promeut le développement individuel et offre des opportunités d'emploi égales à tous les candidats.