Member of Technical Staff - Research

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 machine learning, optimization, systems, or control techniques to AI infrastructure and cloud operations problems Design, implement, and evaluate algorithms using large-scale experimental platforms and production deployments Partner with product and customer-facing 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 and AI conferences when appropriate Help shape Emerald AI’s long-term technical roadmap and identify commercially impactful research directions Requirements Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field Strong background in machine learning systems, AI infrastructure, distributed systems, cloud computing, systems for AI or HPC, or performance optimization Excellent software engineering skills with experience developing large software systems in 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 Experience deploying systems in production cloud or distributed environments Experience with large codebases, production software, or open-source infrastructure Experience with Kubernetes, Slurm, distributed training/inference frameworks, or large-scale AI infrastructure Experience with GPU systems, accelerators, or performance analysis tools Experience in optimization, control systems, resource scheduling, or systems performance Experience with power management, energy-efficient computing, sustainability, or data center infrastructure Experience taking research innovations from prototype to production Must be located in or willing to locate to an Emerald AI hub in San Francisco, Washington D.C., or Boston Must address U.S. work authorization and sponsorship status Core Competencies Demonstrates expertise in designing and building AI infrastructure and distributed systems, with a strong focus on machine learning, optimization, and cloud computing. Proven ability to transition research innovations into production environments and contribute to impactful technical publications. #J-18808-Ljbffr Jobtailor