Member of Technical Staff Systems Infrastructure 2026 PhD New Grad

You will design, build, and operate infrastructure for large-scale training and inference. You will benchmark and model scheduling, caching, and network performance, identify bottlenecks across the stack, and turn research ideas into resilient production systems.

Responsibilities

• Design, build, and operate infrastructure systems for training and inference
• Model and measure scheduling, caching, and network performance
• Identify and remove system bottlenecks
• Turn research ideas into production systems
• Collaborate on infrastructure and model design
• Track emerging hardware and systems research

Requirements

• PhD completed within the last 6 months or expected by December 2026 in a relevant field
• Research background in distributed systems, operating systems, scheduling, storage, networking, architecture, or high-performance computing
• Depth in scheduling and resource management, distributed storage and caching, or datacenter networking
• Systems programming experience in C/C++, Rust, Go, or similar, plus Python proficiency
• Experience building and evaluating real systems
• Systems design and communication skills