Staff Scientist — AI Infrastructure & Power Optimization

Emerald AI; Oakland (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Make an impact

Competitive pay + equity

Comprehensive benefits

Flexible location with Bay Area option

Backed by top investors

Job summary

Emerald AI in the Bay Area and beyond is seeking a Member of Technical Staff to invent and build the next generation of software systems that enable AI infrastructure to operate intelligently under power constraints.

You will work at the intersection of AI systems, distributed computing, cloud infrastructure, and energy-aware optimization, developing technologies that move from research prototypes into production deployments on thousands of GPUs.

Qualifications

• Ph.D. in Computer Science/Engineering or related field.
• Strong background in machine learning systems, AI infrastructure, distributed systems, cloud computing, HPC.
• Excellent software engineering with C++, Python, Go, or Rust.
• Experience building research prototypes or large-scale production code.
• Strong publication record or historical impactful technical innovations.
• Ability to drive research from idea to implementation and evaluation.

Responsibilities

• Design and build power-aware AI infrastructure systems for AI workloads.
• Develop production-quality software, research prototypes, and experimental infrastructure for deployment in 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 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

C++

Python

Go

Rust

Machine learning systems

AI infrastructure

Distributed systems

Cloud computing

Performance optimization

Large-scale software

Education

Ph.D. in CS/CE/EE

Tools

Kubernetes

Slurm

Distributed training/inference

GPU systems

Open-source infrastructure

Job description

Emerald AI in the Bay Area and beyond is seeking a Member of Technical Staff to invent and build the next generation of software systems that enable AI infrastructure to operate intelligently under power constraints.

You will work at the intersection of AI systems, distributed computing, cloud infrastructure, and energy-aware optimization, developing technologies that move from research prototypes into production deployments on thousands of GPUs.