Gridmatic Tech Stack

AI-powered grid optimization and energy trading platform

Software Development Cupertino, California 51–200 employees Founded 2017 Privately Held

Gridmatic builds AI models for energy supply, demand, and transaction optimization across the US grid. The tech stack—Python, GCP, AWS, multi-cloud Kubernetes orchestration, and workflow engines (Airflow, Flyte, Temporal)—reflects a data-intensive ML operation. Active projects around petabyte-scale weather data ingestion, spatial price forecasting, and SCUC/SCED optimization signal heavy infrastructure scaling and real-time modeling work; pain points cluster around ML training pipelines and billing automation, indicating an engineering team balancing product velocity with data infrastructure maturity.

Tech Stack 15 technologies

Core StackPython AWS Kubernetes Terraform Go C++ Java Rust Apache Airflow Temporal Docker GCP Azure Flyte Excel

What Gridmatic Is Building

◆Challenges

Energy price volatility
Scaling data infrastructure for ml models
Incorporating petabyte-scale weather data
Increasing spatial granularity of price forecasting
Billing accuracy and automation
Enrollment exception resolution
Complex pricing and contracting
Automation of sales process
Real-time battery dispatch reliability
Continuous ml model training

▲Active Projects

Scaling and reliability of data infrastructure
Stock compensation program maintenance
Increasing spatial granularity of price forecasting
Billing accuracy and automation
Enrollment automation
Scuc and sced optimization models
Incorporating petabyte-scale weather data
Market outcome simulation
Deep automation of pricing, forecasting, and contracting platform
Automation of pricing from unstructured emails

Hiring Activity

Accelerating10 roles · 6 in 30d

Department

Engineering

Ops

Sales

Finance

Product

Seniority

Senior

Mid

Manager

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About Gridmatic

Gridmatic is an AI-driven energy company founded in 2017 and based in Cupertino, California. It focuses on grid decarbonization by modeling and optimizing energy supply, demand, and market transactions. The platform serves utilities, grid operators, and energy traders looking to increase clean energy adoption while enhancing grid stability. The company operates across energy storage, renewable optimization, energy trading, and grid modernization. With 51–200 employees and accelerating hiring weighted toward senior and mid-level engineers, Gridmatic is scaling its data infrastructure and automation capabilities across pricing, forecasting, contracting, and billing functions.

HeadquartersCupertino, California

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Gridmatic use?

Python, GCP, AWS, Azure, Kubernetes, Terraform, Go, C++, Java, Rust, Apache Airflow, Flyte, Temporal, and Docker. The multi-cloud and orchestration-heavy mix indicates complex data pipelines and ML workflows.

What is Gridmatic working on?

Core projects include scaling data infrastructure for ML, incorporating petabyte-scale weather data, increasing spatial price forecasting granularity, optimizing SCUC/SCED models, and automating billing, pricing, and contracting workflows.