Staff AI Infrastructure Engineer — Power‑Aware & Scalable

Emerald; Washington (District of Columbia); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive pay + equity

Comprehensive benefits

Flexible location with hybrid schedule

Investment by top investors

Job summary

Emerald AI is building the next generation of AI infrastructure to operate within power constraints. This highly technical role focuses on research and production-grade software across AI systems, distributed computing, and energy-aware optimization, scaling to thousands of GPUs.

You will work closely with product and customer teams to translate ideas into deployed capabilities and publish cutting-edge research advancing AI infrastructure.

Qualifications

• PhD in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
• Strong background in machine learning systems, AI infrastructure, distributed systems, cloud computing, or systems for AI/HPC.
• Excellent software engineering skills with experience in 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 for real-world AI data centers.
• Apply ML, optimization, systems, or control techniques to AI infrastructure and cloud operations.
• Design, implement, and evaluate algorithms on large-scale experimental platforms and deployments.
• Collaborate with product and customer teams to transition research innovations into products.

Skills

PhD

Machine learning systems

Distributed systems

Cloud computing

Performance optimization

C++

Python

Go

Rust

Education

PhD in Computer Science or related field

Tools

Kubernetes

Slurm

Distributed training frameworks

GPU infrastructure

Job description

Emerald AI is building the next generation of AI infrastructure to operate within power constraints. This highly technical role focuses on research and production-grade software across AI systems, distributed computing, and energy-aware optimization, scaling to thousands of GPUs.

You will work closely with product and customer teams to translate ideas into deployed capabilities and publish cutting-edge research advancing AI infrastructure.