Integrated Power Modelling (IPM) in OneTech supports the company’s technological ambition in the digitalization of renewable energies value chain. It brings together cross domain expertise (scientific and digital) to deliver digital products with the goal of maximizing both the performance and value of renewable assets. It is built around four platforms, each oriented towards internal business clients.

The Origination & Design platform’s products focus on improving our designs, energy yield assessment and costs, in order to maximize the value of our renewable projects and future assets. By design, these domains are data intensive and require integration of most advanced digital solutions. 

As platform member, the engineer will collaborate with a team supporting Business Units and OneTech to optimize the sizing and operational strategies of hybrid systems for applications including asset decarbonization, green hydrogen production, and grid-connected assets. Joining a five-year initiative to develop and industrialize optimization algorithms and technology models, creating an in-house software solution for real-world business projects. With the project entering a new phase of rapid growth, the engineer will be instrumental in enhancing and designing new optimization strategies, supporting active projects, and contributing to the company-wide deployment and scaling of this solution. 

You will join a dedicated team focused on collaboration and mutual support. The team holds regular meetings to share project updates and knowledge, fostering collective growth. Team-building activities, such as lunches and after-work events, are organized to encourage strong professional relationships. 

Your activities will be the following ones: 

• You will act as the technical lead and key reference for optimization topics, covering algorithmic choices, modeling approaches, tools, and external ecosystems. 
• You will lead the design and development of advanced optimization methods to address complex industrial problems across a wide range of business applications.
• You will contribute to the technical roadmap of optimization components, making architectural choices to ensure scalability, robustness, and long-term maintainability of the software.
• You will drive the implementation of high-impact features, improving computational performance, numerical stability, and overall code quality, while enforcing best software engineering practices.
• You will frame and steer business case studies, working closely with business project managers and technical experts to translate operational needs into robust optimization models and solutions.
• You will maintain strong links with the external and academic ecosystem, monitoring relevant research, tools, and partnerships.
• You will evaluate and drive the adoption of external solutions, ensuring their relevance, robustness, and alignment with product needs.
• You will act as a technical reference for optimization, providing guidance, reviews, and mentorship to junior engineers and contributing to the upskilling of the team.
• You will lead the technical documentation framework for the products, clearly describing selected optimization models, justifying resolution methods, and evaluating their performance.
• You will lead or contribute to advanced research activities in optimization modeling and solution strategies, and drive their industrialization into the product.
• You will contribute to the external and internal visibility of the software, through technical documentation, methodological guidelines, and strategic communication to foster adoption and contribution across users and stakeholders.

• Engineering or University degree in Mathematical Optimization / Operations Research
• Strong mathematical skills, particularly in optimization and numerical modeling & statistics , able to translate complex business problems into robust optimization formulations (MILP/MNLP)
• Combinatorial Optimization: Solid grasp of heuristics and metaheuristics (GA, PSO, CMAES) for NP hard problems
• Strong experience with solvers (Gurobi, CPLEX, CBC, IpOpt, GAMS…) and modeling libraries (Pyomo, PuLP…) 
• Advanced proficiency in Python and experience delivering industrial-grade software solutions ? Experience with version control and collaboration tools (GitHub, GitLab, Azure DevOps)
• Professional working proficiency in English (French is a plus) 
• Knowledge of Machine Learning (e.g. hybrid ML–optimization approaches) is a plus.