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Member of Technical Staff, Systems Infrastructure (2026 PhD New Grad)

Fireworks AI · San Mateo · New York

CHECKED 39M AGO

Infrastructureremoteentry-level$200k–$230k
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At a glance

Highlights

  • Build schedulers, storage and networks powering tens of thousands of accelerators.
  • Turn dissertation research into production systems running on a real AI fleet.
  • Tackle placement, KV-cache movement and tail-latency at datacenter scale.

Ideal candidate

A finishing systems PhD who wants dissertation ideas running on real fleets and cares about rigorous measurement and shipping production infrastructure.

Requirements

  • PhD completed within last 6 months or expected by December 2026 in Computer Science or similar field
  • Research background in distributed systems, operating systems, scheduling, storage, networks, architecture or HPC
  • Depth in scheduling, distributed storage and caching, or datacenter networking via dissertation or built systems
  • Strong systems programming in C/C++, Rust, Go or similar plus working proficiency in Python
  • Experience building and evaluating real systems with rigorous performance measurement
  • Ability to communicate systems design and results clearly to diverse audiences

Lab profile

About Fireworks AI

Platform for specialized intelligence to build, train, and serve tailored AI models.

What they build

  • Platform to build, train, and serve tailored AI models
  • Hundreds of open models for production AI
  • Text, image, embedding, audio, and multimodal models

Known for

  • Founded by team behind PyTorch
  • Specialized intelligence tailored to customer data and workflows
  • Production-grade AI for text, image, audio, and multimodal workloads

Key facts

  • Backed by AMD, NVIDIA, Sequoia Capital, Benchmark Capital, Index Ventures, Lightspeed, TCV, and Atreides
More about Fireworks AI →
Apply on the lab’s site ↗