Senior Manager Engineering - Benchmarking

What You’ll Do:

We’re looking for a Senior Manager to build and lead CoreWeave’s Benchmarking & Performance team. You will own our end-to-end benchmarking program—MLPerf (Training & Inference) submissions and internal latency/throughput benchmarking—and partner closely with NVIDIA and the open-source community to push the state of the art. Your remit includes delivering service metrics (customer-facing SLO/SLA performance for live services) and public metrics (audited results, dashboards, and publications) that credibly demonstrate CoreWeave’s leadership.

You’ll collaborate across Inference, Training, Orchestration (SUNK, Kueue, Kubeflow), Networking, Storage, and Product/Marketing to set the bar for performance and transparency.

About the role:

• Strategy & Leadership - Define the multi-year benchmarking strategy and roadmap; prioritize models/workloads (LLMs, diffusion, vision, speech) and hardware tiers. Build, lead, and mentor a high-performing team of performance engineers and data analysts. Establish governance for claims: documented methodologies, versioning, reproducibility, and audit trails.
  
  
• Perf Ownership - Lead end-to-end MLPerf Inference and Training submissions: workload selection, cluster planning, runbooks, audits, and result publication. Coordinate optimization tracks with NVIDIA (CUDA, cuDNN, TensorRT/TensorRT-LLM, Triton, NCCL) to hit competitive results; drive upstream fixes where needed.
  
  
• Internal Latency & Throughput Benchmarks - Design a Kubernetes-native, repeatable benchmarking service that exercises CoreWeave stacks across SUNK (Slurm on Kubernetes), Kueue, and Kubeflow pipelines.  Measure and report p50/p95/p99 latency, jitter, tokens/s, time-to-first-token, cold-start/warm-start, and cost-per-token/request across models, precisions (BF16/FP8/INT8), batch sizes, and GPU types. Maintain a corpus of representative scenarios (streaming, batch, multi-tenant) and data sets; automate comparisons across software releases and hardware generations.
  
  
• Service & Public Metrics - Service metrics: Partner with product/eng to define SLOs for live services; publish customer-facing dashboards and weekly health reports by region/SKU/model. Public metrics: Operate a transparent performance portal (blogs, whitepapers, dashboards) with reproducible configs, container images, and methodology notes.
  
  
• Tooling & Automation - Build CI/CD pipelines and K8s controllers/operators to schedule benchmarks at scale; integrate with observability stacks (Prometheus, Grafana, OpenTelemetry) and results warehouses. Implement supply-chain integrity for benchmark artifacts (SBOMs, Cosign signatures).
• Cross-functional & Community - Partner with NVIDIA, key ISVs, and OSS projects (vLLM, Triton, KServe, PyTorch/DeepSpeed, ONNX Runtime) to co-develop optimizations and upstream improvements. Support Sales/SEs with authoritative numbers for RFPs and competitive evaluations; brief analysts and press with rigorous, defensible data.

Who You Are:

• 10+ years in performance engineering for distributed systems/HPC/ML, with 3–5+ years managing or leading teams.
• Direct experience running MLPerf submissions (Inference and/or Training) or equivalent audited benchmarks at scale.
• Deep understanding of GPU performance (CUDA, NCCL, RDMA, NVLink/PCIe, memory bandwidth), model-server stacks (Triton, vLLM, TensorRT-LLM, TorchServe), and distributed training frameworks (PyTorch FSDP/DeepSpeed/Megatron-LM).
• Proficient with Kubernetes and ML control planes; familiarity with SUNK, Kueue, and Kubeflow in production environments.
• Strong data chops: experimental design, statistical analysis, and clear visualization/storytelling of results.
• Excellent communicator able to interface with executives, customers, auditors, and OSS communities.

Preferred:

• Contributions to MLPerf, Triton, vLLM, PyTorch, KServe, or similar OSS projects.
• Experience benchmarking multi-region fleets and large clusters (thousands of GPUs).
• Publications/talks on ML performance, latency engineering, or large-scale benchmarking methodology.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Own the truth about performance. You’ll shape how the industry measures—and achieves—state-of-the-art results, working hand-in-hand with world-class partners and communities. If you love turning deep systems knowledge into clear, trusted metrics that move markets, we’d love to talk.

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).