Software Engineer – Grid Services

Emerald AI

Software Engineer developing systems that enable AI data centers to participate in electricity markets. Working with grid integrations, forecasting, and optimization within distributed systems.

Posted 7/2/2026full-timeBay Area • California • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software engineering with a focus on building production systems in Python, developing optimization algorithms, and creating reliable data pipelines. Proficient in cloud infrastructure and familiar with electric utilities and demand response systems.

Highest-signal resume keywords

Python Software EngineeringCloud Infrastructure (AWS, GCP, Azure)Data Pipeline DevelopmentDistributed Software SystemsElectric Utilities Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Integration DesignOptimization AlgorithmsForecasting ModelsData ValidationSQL

Soft Skills

Communication SkillsCollaboration Skills

Tools & Technologies

DockerKubernetesCI/CD Pipelines

Industry Keywords

ISOsRTOsDemand ResponseWholesale Electricity MarketsCapacity Accreditation

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonRTOSSQL

About the role

Key responsibilities & impact

Design and build software integrations with ISOs/RTOs, utilities, aggregators, and demand response platforms.
Develop optimization and control algorithms that determine when and how data center resources including compute workloads, on-site generation, and storage are dispatched in response to grid signals.
Build forecasting models for electricity demand, data center load, prices and grid conditions to support market participation and dispatch decisions.
Translate wholesale market and demand response program rules including capacity accreditation, baselines, measurement & verification (M&V), settlement, and compliance into operational software.
Build reliable data pipelines that ingest, validate, and process real-time operational and market data.
Own software services from design through deployment, monitoring, and long-term operation.

Requirements

What you’ll need

7+ years of software engineering experience building production systems in Python
Strong experience designing and operating reliable, distributed software systems where correctness and availability are critical
Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and CI/CD pipelines
Experience building data pipelines and working with large-scale operational datasets
Familiarity with SQL and modern data engineering practices
Experience in electric utilities, ISOs/RTOs, wholesale electricity markets, demand response, or adjacent energy systems
Excellent communication and collaboration skills
Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related quantitative field

Benefits

Comp & perks

Make an impact. Solve the AI power bottleneck and shape how data centers scale sustainably.
Join a world-class team of AI, cloud, software, and energy experts in a collaborative, low-ego environment.
Build from 0→1. Influence strategy, GTM, org design, and customer/investor engagement from day one.
Competitive pay + equity. Stock options let you share in the value you help create.
Comprehensive benefits, including medical, dental, vision, and 401(k) matching.
Flexible location. Work from D.C., Boston, or the Bay Area, with 2 WFH day/week.