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.
How you'll make 10x impact:In this role you will...
- Drive the evolution of internal optimization engines to support the transition to high-renewable energy grids.
- Act as a technical bridge between theoretical research and high-performance software execution.
- Identify and resolve computational bottlenecks in large-scale grid simulations to enable real-time decision-making.
- Lead the architectural design of scalable solvers that can handle the complexity of modern, decentralized energy resources.
- Work with power system and software engineering experts on the design and creation of advanced grid optimization tools such as ACOPF, SCED, and SCUC.
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.
It'd be great if you had these:
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Experience performing sensitivity analysis and security assessments on large-scale power flow models.
- Familiarity with electricity power markets and grid operations.
- Skilled and efficient in scientific programming languages (e.g., JAX, Julia, C++, etc.).
- Familiarity with Machine Learning concepts.
Our values- Take charge: We take initiative and own outcomes that move the mission forward.
- Purpose in everything: We build solutions that solve real problems and create meaningful impact.
- Stronger together: We collaborate across diverse skills and perspectives to achieve more than we can individually.
- Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
- Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.
What we offerA culture that supports growth, ownership, and meaningful impact, along with:
- Competitive salary and equity
- Medical, dental, and vision coverage
- Generous PTO and flexible hybrid work model
- 401(k) with employer contribution
- Professional development
- The ability to work on important real-world problems within an Alphabet-backed environment
The US base salary range for this full-time position is $207,000 - $300,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
