Senior AI Inference Performance Engineer

Fdetimes; Sunnyvale (CA); On-site; USD 139,000 - 204,000; Full time

Benefits offered by this job

Medical insurance

401(k)

Paid time off

Flexible schedule

Job summary

CoreWeave is seeking a Senior Software Engineer to help us measure and improve the real-world performance of our inference platform. In the near term, you will build and run benchmarks, profile model and system behavior, identify bottlenecks, and drive optimizations for both platform-wide and customer workloads.

You will partner with inference platform engineers to productionize improvements, design experiments on model-serving techniques, and document findings to guide topology, runtime

Qualifications

• 4+ years of experience in machine learning, systems, performance engineering, or adjacent applied engineering work.

Responsibilities

• Build benchmarking workflows that measure latency, throughput, quality regressions, and cost across priority models and serving configurations.
• Benchmark our inference stack against realistic customer workloads and external provider baselines to identify performance gaps and improvement opportunities.
• Profile model-serving behavior across frameworks, runtimes, and hardware configurations to find bottlenecks in prefill, decode, KV cache usage, batching, graph capture, quantization, and related systems.
• Drive targeted optimization efforts for specific customer and product workloads, including tuning serving configurations, evaluating runtime features, and validating changes against representative traces and benchmarks.
• Design and run experiments on model-serving techniques such as quantization, speculative decoding, caching strategies, routing, and other inference optimizations, with careful attention to quality and correctness tradeoffs.
• Partner closely with inference platform engineers to productionize improvements and establish repeatable workflows for performance testing and regression detection.
• Produce clear technical writeups and recommendations that help the team make better decisions about model configurations, runtime choices, hardware allocation, and customer-specific deployment strategies.
• Contribute additional applied research over time as needed to support inference quality, optimization, and product performance goals.

Skills

Python

Benchmarks

LLM inference

Profiling tools

Communication

Tools

Nsight Systems

PyTorch profilers

Telemetry pipelines

TensorRT-LLM

Job description

CoreWeave is seeking a Senior Software Engineer to help us measure and improve the real-world performance of our inference platform. In the near term, you will build and run benchmarks, profile model and system behavior, identify bottlenecks, and drive optimizations for both platform-wide and customer workloads.

You will partner with inference platform engineers to productionize improvements, design experiments on model-serving techniques, and document findings to guide topology, runtime