Staff Computational Scientist, Grid Optimization
About the role
As a Computational Scientist in Grid Optimization, you will be the architect of the decision-making logic that powers Tapestry. This is a high-seniority role designed for an expert who can bridge the gap between deep mathematical theory and high-performance software execution. You won't just be using existing solvers; you will be evolving our internal optimization engines to handle the unprecedented complexity of modern energy resources.
You will lead the design of scalable solvers for critical grid functions like ACOPF, SCED, and SCUC, ensuring they are fast enough and robust enough for real-world deployment. If you are passionate about translating complex non-convex optimization problems into production-ready code that changes how the world uses energy, we want to talk to you.
What you should have
- Master or PhD in a STEM field (such as Operations Research, Electrical Engineering, Computer Science, Physics, Mathematics, or a related field).
- A strong interest in grid computations, particularly regarding optimization algorithms.
- Demonstrated proficiency in power systems core concepts.
- Significant background in the development of optimization software tools.
- At least 6 years of professional experience focused on modeling and optimization principles.
- Experience in one or more general-purpose programming languages such as Python, Java, or C/C++.
- Deep understanding of numerical methods and convex/non-convex optimization solver technologies.
- Proven ability to translate complex mathematical formulations into maintainable, production-ready code.
- Strong collaborative skills to work across multi-disciplinary teams of AI researchers and hardware engineers.