Fireworks AI
Member of Technical Staff, Systems Infrastructure (2026 PhD New Grad)
$200K–$230K
San Mateo +1 · Hybrid · Staff · Full-time · Posted Sep 8, 2026
- Location
- San Mateo
New York - Experience
- PhD completed within the last 6 months, or expected completion by December 2026; no years of work experience specified.
- Education
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or a similar field.
About the job
Build and operate large-scale systems infrastructure for AI training and inference, including scheduling, distributed storage and caching, or datacenter networking.
What you'll do
- Design, build, and operate core infrastructure systems; identify and remove performance bottlenecks using measurements.
- Develop benchmarks, traces, and simulators to evaluate system behavior and guide design decisions.
- Turn research ideas into production systems and collaborate with research and inference teams.
What they ask for
- PhD in a relevant field, completed within the last 6 months or expected by December 2026.
- Research background in a relevant systems area and demonstrated depth in at least one focus area.
- 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 measuring performance.
Nice to have
- First-authored publications at top-tier systems or networking venues.
- GPU-cluster or accelerator experience, Kubernetes/cloud infrastructure, industry internships, or meaningful systems open-source contributions.
Pay
$200K – $230K (base salary or total pay not specified)
Tools
C/C++, Rust, Go, Python, RDMA/RoCE, InfiniBand, NCCL/RCCL, Kubernetes
AI focus
Build infrastructure that supports AI model training and inference, including accelerator scheduling, model-weight and KV-cache movement, and networking for AI workloads.
Model-written summary · the original posting is authoritative