Staff AI Infrastructure Engineer (Power-Aware)

Emerald AI, Inc.; Washington (District of Columbia); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Impactful work

Stock options

Comprehensive benefits

Flexible location

WFH 2 days per week

Top investors

Job summary

Emerald AI, Inc. is pioneering power‑aware AI infrastructure to scale data centers without taxing the grid.

As a Member of Technical Staff, you will design and build systems that operate across AI, distributed computing, and cloud platforms, translating research into production deployments. You’ll work with GPU‑rich environments, publish influential research when appropriate, and help shape a long‑term technical roadmap while collaborating with product and customer teams to deliver

Qualifications

• PhD in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
• Strong background in ML systems, AI infrastructure, distributed systems, cloud computing, systems for AI or HPC, or performance optimization.
• Excellent software engineering skills with experience developing large software systems in languages such as C++, Python, Go, or Rust.
• Experience building research prototypes or with large-scale production code.
• Strong publication record or demonstrated history of delivering impactful technical innovations.
• Ability to independently drive research from idea through implementation and evaluation.

Responsibilities

• Design and build novel systems for power-aware AI infrastructure, distributed computing, and large-scale cloud platforms.
• Develop production-quality software, research prototypes, and experimental infrastructure that can be deployed in real-world AI data centers.
• Apply machine learning, optimization, systems, or control techniques to challenging problems in AI infrastructure and cloud operations.
• Design, implement, and evaluate algorithms using large-scale experimental platforms and production deployments.
• Partner with product and customer facing teams to transition research innovations into customer-facing products.
• Collaborate with partners across industry and academia on cutting-edge research initiatives.
• Publish high-impact research in leading systems and AI conferences when appropriate.
• Help shape Emerald AI's long-term technical roadmap and identify new research directions with commercial impact.

Skills

ML systems

AI infrastructure

Distributed systems

Cloud computing

Systems for AI/HPC

Performance optimization

C++

Python

Go/Rust

Large-scale production code

Publications

Education

PhD in Computer Science/Engineering

Tools

Kubernetes

Slurm

Distributed training frameworks

GPU infrastructure

Job description

Emerald AI, Inc. is pioneering power‑aware AI infrastructure to scale data centers without taxing the grid.

As a Member of Technical Staff, you will design and build systems that operate across AI, distributed computing, and cloud platforms, translating research into production deployments. You’ll work with GPU‑rich environments, publish influential research when appropriate, and help shape a long‑term technical roadmap while collaborating with product and customer teams to deliver