Member of Technical Staff - Research
Emerald AI2 months ago
Boston, MA, USA +2 moreSenior
Responsibilities
- 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 research initiatives.
- Publish high-impact research in leading systems and AI conferences when appropriate.
- Help shape the long-term technical roadmap and identify research directions with commercial impact.
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.
- Strong software engineering skills using languages such as C++, Python, Go, or Rust.
- Experience building research prototypes or large-scale production code.
- A strong publication record or demonstrated history of delivering impactful technical innovations.
- Ability to independently drive research from idea through implementation and evaluation.
- Preferred experience deploying systems in production cloud or distributed environments.
- Preferred experience with large codebases, production software, or open-source infrastructure.
- Preferred experience with Kubernetes, Slurm, distributed training or inference frameworks, or large-scale AI infrastructure.
- Preferred experience with GPU systems, accelerators, or performance analysis tools.
- Preferred experience in optimization, control systems, resource scheduling, systems performance, power management, energy-efficient computing, sustainability, or data center infrastructure.
- Preferred experience taking research innovations from prototype to production.
Benefits
- Competitive pay and equity, including stock options.
- Medical, dental, vision, and 401(k) matching.
- Flexible location from Washington, D.C., Boston, or the Bay Area.
- Hybrid arrangement with two work-from-home days per week.
Tech Stack
Categories
About Emerald AI
Emerald AI builds the Emerald Conductor software platform for AI data centers, orchestrating training and inference workloads so facilities can dynamically modulate power draw in response to grid conditions while meeting performance targets. It sells enterprise software to data center operators and cloud providers to improve grid reliability and support renewable integration. Founded in 2024 and privately held, it is backed by investors including Radical Ventures and NVIDIA.