Staff AI Systems Engineer – Power‑Aware Infrastructure

Emerald AI; Maryland; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay + equity

Comprehensive benefits

401(k) matching

Flexible location (DC/Boston/Bay Area,

Top investors backing Emerald AI

Job summary

Emerald AI is transforming AI infrastructure to run efficiently under power constraints, enabling scalable AI in data centers while supporting the grid and renewable energy expansion.

As a Member of Technical Staff, you will invent and implement production‑quality software for thousands of GPUs, collaborating with product and customer teams and publishing cutting‑edge research in AI infrastructure.

Qualifications

• PhD in Computer Science, Computer Engineering, Electrical Engineering, or closely related field.
• Strong background in machine learning systems, AI infrastructure, distributed systems, cloud computing, systems for AI or HPC, and performance optimization.

Responsibilities

• Design and build power‑aware AI infrastructure and large‑scale cloud platforms.
• Develop production‑quality software, research prototypes, and experimental infrastructure for data centers.
• Apply ML, optimization, systems, or control techniques to AI infrastructure and cloud operations.

Education

PhD in CS/CE/EE

Tools

Kubernetes

Slurm

Distributed training

GPU accelerators

Job description

Emerald AI is transforming AI infrastructure to run efficiently under power constraints, enabling scalable AI in data centers while supporting the grid and renewable energy expansion.

As a Member of Technical Staff, you will invent and implement production‑quality software for thousands of GPUs, collaborating with product and customer teams and publishing cutting‑edge research in AI infrastructure.