Software Engineer - Full-Stack

About Emerald

We’re at a pivotal moment in AI and energy: compute demand is surging, but power constraints threaten to stall innovation. Emerald AI operates at the nexus of AI and energy, pioneering solutions that let AI factories scale without overwhelming the grid. By making data centers flexible, we can unlock immense AI growth with limited capital costs, all while stabilizing the grid & enabling more renewables.

Our team of AI, cloud, software, and energy experts is on a mission to unlock AI’s potential sustainably, backed by premier investors and industry leaders like NVIDIA, Radical Ventures, Neotribe Ventures and Amplo.

About the Role

Emerald AI is looking for a Full Stack Engineer to help build the core software platform that enables intelligent operation of AI data centers. In this role, you’ll work across the stack—from designing intuitive web UIs and client interfaces to developing robust back-end services and APIs. You’ll collaborate with a multidisciplinary team to turn real-time infrastructure data into actionable insights that drive performance and power efficiency.

Key Responsibilities

• Work across the full software stack, from crafting intuitive web UIs and client interfaces to implementing the backend services and databases that support them.

• Drive projects from ideation through launch building Server Driven UI components, dashboards, client-friendly schemas, and developing backend microservices & APIs for Emerald’s software suite

• Ensure systems are scalable, performant, and reliable driving best practices in code quality, testing, and deployment.

• Collaborate with a cross-functional team to turn new algorithms and models into scalable, reliable software processes integrated into the product.

Minimum requirements

• Proficiency in both backend and frontend development; comfortable working with a modern backend language (e.g., Python, Java, Node.js, Go) and a frontend framework (e.g., React, Angular, vue.js).

• Experience building and deploying web applications, including designing APIs and working with databases (SQL or NoSQL) and data processing pipelines.

• Solid understanding of software engineering fundamentals (data structures, algorithms, version control, testing) and best practices for maintainable code.

• Excellent problem-solving and communication skills, with a track record of working effectively in collaborative, cross-functional teams.

• Enthusiasm for working in a fast-paced startup environment, with the ability to adapt to changing needs and take initiative in a small team setting.

Preferred requirements

• Experience with AI/ML frameworks or libraries (e.g., TensorFlow, PyTorch) and familiarity with MLOps tools or workflows for deploying machine learning models into production.

• Exposure to cloud infrastructure and services (AWS, GCP, Azure) and experience with containerization/orchestration tools such as Docker and Kubernetes for scalable deployments.

• Understanding of cluster resource management and scheduling systems (e.g., experience with Slurm or similar job schedulers) and principles of efficient resource provisioning for compute-intensive workloads.

What We Offer

• A chance to join a team of industry leaders and experts working at the nexus of two pivotal industries in a collaborative and collegial environment.

• Building from zero to one: help the team build from the ground up. In addition to this role, you have the opportunity to contribute to strategy development, GTM planning, org design, and customer and investor interfacing.

• Comprehensive benefits package including insurance for medical, dental, vision and life in addition to 401(k).

• Location flexibility between our three hubs in the San Francisco Bay Area, D.C., and Boston with 1 WFH day/week.