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Member of Technical Staff

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Member of Technical Staff in USA

  • Fireworks AI
  • Full time
  • Email
  • San Mateo, CA

Responsibilities

  • Design, build, and operate core infrastructure systems for large-scale training and inference.
  • Develop benchmarks, traces, and simulators to evaluate scheduling, caching, and network performance.
  • Identify and eliminate bottlenecks across kernels, drivers, scheduler policies, and other infrastructure layers using measurements.
  • Translate systems research ideas into production systems that withstand real workloads and failures.
  • Collaborate with research and inference teams so infrastructure and model design inform one another.
  • Contribute to technical direction by tracking emerging hardware, interconnects, and systems research.

Requirements

  • PhD completed within the last six months or expected by December 2026 in Computer Science, Computer Engineering, Electrical Engineering, or a similar field.
  • Research background in distributed systems, operating systems, scheduling and resource management, storage systems, computer networks, computer architecture, or high-performance computing.
  • Demonstrated depth in scheduling and resource management, distributed storage and caching, or datacenter networking through a dissertation, publications, or systems built.
  • Strong systems programming skills in C/C++, Rust, Go, or a similar language, plus working proficiency in Python.
  • Experience building and evaluating real systems and rigorously analyzing performance through measurements.
  • Ability to communicate systems designs and results clearly to audiences with different backgrounds.
  • Preferred qualifications include first-authored publications at top-tier systems or networking venues such as OSDI, SOSP, NSDI, EuroSys, SIGCOMM, ATC, FAST, ASPLOS, MLSys, and SC.
  • Preferred qualifications include infrastructure, cloud, or HPC internships; meaningful systems open-source contributions; GPU cluster or accelerator programming experience; Kubernetes or cloud infrastructure experience; distributed performance profiling and debugging; and research or engineering achievements such as grants, fellowships, patents, or systems competitions.

Benefits

  • Flexible start dates around thesis defense timelines.
  • Pairing with a senior engineer as a mentor and ownership of a real problem from day one.
  • Opportunity to work on large-scale AI infrastructure with production fleets and world-class engineers and AI researchers.
  • Inclusive equal-opportunity workplace committed to diversity.

Salary: $200k - $230k/yr

Fireworks AI

Fireworks is the fastest way to build, tune, and scale AI on open models. Ship production-ready AI in seconds on our globally distributed cloud infrastructure, optimized for your use case. Fireworks powers production workloads at companies like Uber, Doordash, Notion, and Cursor—delivering 15× fa...

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