Engineer in Optimization for Hybrid Energy Systems

Engineer in Optimization for Hybrid Energy Systems

TotalEnergies

Palaiseau, France

The products of the Origination & Design platform aim to improve project design, energy yield assessment and cost evaluation, in order to maximize the value of renewable projects and future assets. These areas are strongly data-driven and rely on advanced digital solutions.

As a member of the platform, the engineer will work with a team supporting Business Units and OneTech on the optimization of sizing and operating strategies for hybrid energy systems, including asset decarbonization, green hydrogen production and grid-connected assets.

The position is part of a multi-year initiative aimed at developing and industrializing optimization algorithms and technology models to create an internal software solution dedicated to real industrial projects. As the project enters a strong acceleration phase, the role will be key to designing new optimization strategies, supporting active projects and contributing to deployment and scale-up across the Group.

You will join a dedicated team of eight engineers, committed to collaboration and mutual support, with regular technical sharing sessions and team-building activities such as lunches and afterworks.

Activities

• You will contribute to defining product evolutions with business users and the Product Manager, proactively identifying needs,priorities and areas for improvement;
• You will develop new optimization methods, or improve existing ones, to enhance the product’s capabilities across a wide range of business applications, including grid-connected assets, asset decarbonization and green hydrogen production;
• You will develop and evolve the product code to implement new features and improve its robustness,performance and maintainability;
• You will develop product features in line with the vision and priorities defined by the Product Manager, contributing to development follow-up, including Jira-type tools, and to delivery quality;
• You will take part in feature validation phases with business users and contribute to the continuous improvement of the product;
• You will contribute to product and model documentation, including assumptions, use cases and limitations, to support adoption and long-term maintainability;
• You will contribute to the robustness and reliability of the models through appropriate testing,validation and sensitivity analysis approaches;
• You will contribute to the industrialization of models and developments, focusing on performance,scalability and maintainability, with the objective of operational product use;
• You will contribute to product dissemination and adoption among users through communication,support and regular interactions;
• You will contribute to collaboration activities with other entities to enrich the models and extend the product’s functionalities;
• You will contribute to applied research activities aimed at improving the product’s performance and capabilities, including non linear optimization and uncertainty management.

Candidate Profile

• Technical skills:
  • Engineering or university degree in energy systems or optimization, with at least three years of professional experience;
  • Strong skills in applied mathematics, especially optimization, numerical modeling and statistics, with the ability to translate complex business problems into robust formulations such as MILP or MINLP;
  • Knowledge of energy production and storage systems, including operation,modeling and economics;
  • Strong experience with solvers such as Gurobi, CPLEX, CBC, IpOptor GAMS, and modeling libraries such as Pyomoor PuLP;
  • Excellent command of Python and experience developing industrial-grade software solutions, with regular use of versioning and collaboration tools such as GitHub.
• Soft skills:
  • Strong teamspirit and ability to work in a collaborative environment;
  • Proactive mindset and ability to propose ideas,solutions and improvements;
  • Analytical mindset and ability to solve complex problems, with rigor, autonomy,result orientation and strong organizational skills;
  • Excellent communication skills;
  • English is required and French is a plus.
• Additional assets/Plus:
  • Experience in optimization under uncertainty, including stochastic, robust or scenario-based optimization;
  • Experience in deep learning;
  • Knowledge of economics.