Emerald AI
Member of Technical Staff - Research
Bay Area +2 · Hybrid · Staff · Full-time · Posted Aug 6, 2026
- Location
- Bay Area
Boston
Washington D.C. - Education
- Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
About the job
Invents and builds research-driven software systems that help AI data centers operate intelligently under power constraints, advancing innovations from prototypes into production.
What you'll do
- Design and build power-aware AI infrastructure, distributed computing, and cloud systems.
- Develop and evaluate production software, research prototypes, and algorithms on large-scale platforms and deployments.
- Collaborate with product, customer, and research partners to deploy innovations and advance research.
What they ask for
- Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
- Strong background in one or more of machine learning systems, AI infrastructure, distributed systems, cloud computing, systems for AI or HPC, or performance optimization.
- Strong software engineering skills and experience developing large software systems in languages such as C++, Python, Go, or Rust.
- Experience building research prototypes or large-scale production code; strong publication record or demonstrated impactful technical innovations.
Nice to have
- Experience deploying systems in production cloud or distributed environments.
- Experience with Kubernetes, Slurm, distributed training/inference frameworks, large-scale AI infrastructure, GPU systems, or accelerators.
Tools
C++, Python, Go, Rust, Kubernetes, Slurm
AI focus
Research and develop AI infrastructure systems, applying machine learning, optimization, systems, or control techniques to operate AI infrastructure under power constraints.
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