AI Benchmarking & Performance Architect

CoreWeave

Sunnyvale (CA)

On-site

USD 206,000 - 333,000

Full time

2 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
Equity awards
401(k) with match
Tuition reimbursement
Paid parental leave

Job summary

CoreWeave, a leader in AI infrastructure, seeks a Principal Engineer to head the Benchmarking & Performance team. You will own the data warehouse for performance events across global data centers and drive industry-leading benchmarking publications with MLPerf references and collaboration with NVIDIA and OSS communities.

You will define strategy, build teams, ensure reproducible methodologies, and coordinate with software and hardware partners to deliver credible, published results while shaping

Qualifications

  • 10+ years building distributed systems or HPC/cloud services
  • Proven track record of architecting planet-scale data systems
  • Deep understanding of GPU performance and model-server stacks
  • Proficient with Kubernetes and ML control planes

Responsibilities

  • Define the multi-year benchmarking strategy and roadmap for models/workloads
  • Lead end-to-end MLPerf Inference and Training submissions with runbooks and audits
  • Design a Kubernetes-native benchmarking service across SUNK, Kueue, Kubeflow pipelines
  • Build CI/CD pipelines and observability integration for scalable benchmarks
  • Partner with NVIDIA, OSS projects, and Sales/SEs to provide data for evaluations

Skills

Distributed systems
HPC/Cloud services
GPU performance
Kubernetes
Communication with executives

Tools

CUDA
cuDNN
TensorRT
NCCL
Kubeflow

Job description

CoreWeave, a leader in AI infrastructure, seeks a Principal Engineer to head the Benchmarking & Performance team. You will own the data warehouse for performance events across global data centers and drive industry-leading benchmarking publications with MLPerf references and collaboration with NVIDIA and OSS communities.

You will define strategy, build teams, ensure reproducible methodologies, and coordinate with software and hardware partners to deliver credible, published results while shaping

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