Staff Engineer, AI Infrastructure & Power

Emerald AI; Washington (District of Columbia); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Impactful work

Equity

Medical insurance

Dental & Vision

401(k) matching

Flexible location

WFH 2 days/week

Investors

Job summary

Emerald AI seeks a highly technical Member of Technical Staff to invent and build power-aware software systems for AI infrastructure. You will work at the intersection of AI systems, distributed computing, cloud infrastructure, and energy-aware optimization, translating research into production deployments.

This role requires hands-on engineering, production-quality software, and the ability to scale prototypes across thousands of GPUs while collaborating with product and customer teams to drive

Qualifications

• Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
• Strong background in one or more: ML systems, AI infrastructure, distributed systems, cloud computing, systems for AI or HPC, or performance optimization.
• Excellent software engineering skills with experience in large software systems using C++, Python, Go, or Rust.
• Experience building research prototypes or 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 production deployments.
• Collaborate with product and customer teams to transition research innovations into customer-facing products.
• Collaborate with industry and academic partners on cutting-edge research initiatives.
• Publish high-impact research in leading systems/AI conferences when appropriate.
• Help shape Emerald AI's long-term technical roadmap and identify new research directions with commercial impact.

Skills

Machine learning systems

AI infrastructure

Distributed systems

Cloud computing

Systems for AI/HPC

Performance optimization

Education

Ph.D. in Computer Science/Engineering

Tools

C++

Python

Go

Rust

Job description

Emerald AI seeks a highly technical Member of Technical Staff to invent and build power-aware software systems for AI infrastructure. You will work at the intersection of AI systems, distributed computing, cloud infrastructure, and energy-aware optimization, translating research into production deployments.

This role requires hands-on engineering, production-quality software, and the ability to scale prototypes across thousands of GPUs while collaborating with product and customer teams to drive