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Member of Technical Staff – Research
Emerald AIResearch technical staff developing power-aware AI infrastructure for Emerald AI’s sustainable data-center software platform. Building production systems, prototypes, and algorithms across AI, cloud, distributed computing, and energy optimization.
Posted 8/6/2026full-timeBoston • California, District of Columbia, Massachusetts • 🇺🇸 United StatesLeadWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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.
Highest-signal resume keywords
Ph.D. In Computer ScienceMachine Learning SystemsC++ Software DevelopmentKubernetes ExperienceLarge-Scale AI Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningOptimization TechniquesControl SystemsSoftware EngineeringProduction Code DevelopmentPerformance OptimizationGPU SystemsEnergy-Efficient ComputingResearch PrototypingDistributed Systems
Soft Skills
Independent Research DriveCollaboration With PartnersStrong Publication Record
Tools & Technologies
KubernetesSlurmDistributed Training FrameworksProduction Cloud EnvironmentsPerformance Analysis Tools
Industry Keywords
AI InfrastructureCloud ComputingData Center InfrastructureSustainabilityPower Management
Tech Stack
Tools & technologiesCloudDistributed SystemsGoKubernetesPythonRust
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Stock options
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) matching
- Flexible location with 2 WFH days per week
- Opportunity to influence strategy, go-to-market, organizational design, and customer/investor engagement from day one
- Collaborative, low-ego environment
- Work alongside AI, cloud, software, and energy experts