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X, The Moonshot Factory · 1 day ago

Senior Computational Scientist, Grid Optimization, (Tapestry)

Mountain View, CA

Full-time

Hybrid

Senior Level

$141K/yr - $207K/yr

6+ years exp

Tapestry is an energy intelligence company incubated at X, the Moonshot Factory, focused on building an intelligence layer for the future electric grid. The role of Senior Computational Scientist in Grid Optimization involves evolving internal optimization engines and designing scalable solvers for critical grid functions, contributing to real-time decision-making in modern energy systems.

AerospaceAugmented RealityAutomotiveRobotics

Responsibilities

Drive the evolution of internal optimization engines to support the transition to high-renewable energy grids

Act as a technical bridge between power system 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 for power grid such as ACOPF, SCED, and SCUC

Qualification

Power systems optimizationNumerical methodsProgramming languagesGrid computationsSensitivity analysisMachine Learning conceptsCollaboration skills

Required

Master or PhD in a STEM field (such as 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 power systems optimization software tools

At least a minimum of 6 years professional experience focused on power systems 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

Experience performing sensitivity analysis and security assessments on large-scale power flow models

Strong collaborative skills to work across multi-disciplinary teams of AI researchers and hardware engineers

Preferred

Familiar with electricity power markets and grid operations

Are a skilled and efficient programmer in scientific programming languages (e.g, JAX, C++, Julia, etc.) with a desire to expand into new areas of coding languages and processes

Familiar with Machine Learning concepts