Staff AI Infrastructure Engineer (Power‑Aware)

Emerald AI; San Francisco (CA); Híbrido; USD 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Medical, dental, vision benefits

401(k) matching

Flexible location (Bay Area / DC / etc

2 WFH days per week

Descripción de la vacante

Emerald AI is transforming AI data centers by enabling dynamic power management that scales AI workloads without overloading the grid. The Emerald Conductor platform drives flexible, energy‑aware compute across thousands of GPUs while supporting renewable energy expansion.

As a Member of Technical Staff, you will architect and implement production‑level software at the intersection of AI systems, distributed computing, cloud infrastructure, and energy‑aware optimization, turning research into

Formación

• PhD in CS, CE, EE, or closely related field.
• Strong background in machine learning systems, AI infrastructure, distributed systems, cloud computing, or HPC-oriented systems.
• Excellent software engineering skills with production‑quality code in C++, Python, Go, or Rust.
• Strong publication record or demonstrated history of impactful technical innovations.
• Ability to drive research from idea through implementation and evaluation independently.

Responsabilidades

• Design and build power‑aware AI infrastructure for large‑scale cloud platforms.
• Develop production‑quality software and experimental infrastructure for real‑world deployments.
• Apply ML, optimization, systems, or control techniques to AI infrastructure and cloud ops.
• Design and evaluate algorithms on large‑scale experimental platforms and deployments.
• Collaborate with product and customer teams to transition research into customer products.
• Publish high‑impact research in leading AI and systems conferences when appropriate.
• Help shape Emerald AI's long‑term technical roadmap and identify new research directions.

Conocimientos

Machine learning

AI infrastructure

Distributed systems

Cloud computing

Performance optimization

Educación

PhD in Computer Science / Computer Engineering / Electrical Engineering or related field

Herramientas

C++

Python

Go

Rust

Kubernetes

Slurm

Descripción del empleo

Emerald AI is transforming AI data centers by enabling dynamic power management that scales AI workloads without overloading the grid. The Emerald Conductor platform drives flexible, energy‑aware compute across thousands of GPUs while supporting renewable energy expansion.

As a Member of Technical Staff, you will architect and implement production‑level software at the intersection of AI systems, distributed computing, cloud infrastructure, and energy‑aware optimization, turning research into