Senior Software Engineer - GPU Kernel Authoring & Optimization

CoreWeave — Sunnyvale, California, United States · Hybrid · Senior · $182k - $242k/yearly

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Role description

Role Overview

CoreWeave is seeking a Senior Software Engineer to join their Benchmarking & Performance team, focused on kernel authoring and optimization. The successful candidate will write, profile, and tune GPU kernels to squeeze maximum throughput and minimum latency out of every SM, tensor core, and byte of memory bandwidth.

What You Will Do

The role involves authoring, profiling, and optimizing CUDA kernels, as well as partnering with product, orchestration, and hardware teams to turn kernel-level wins into end-to-end gains and meet strict P99 SLAs at scale.

Why It Might Be a Fit

The ideal candidate will have 5+ years of experience building high-performance computing, GPU/accelerator software, or performance-critical systems, with hands-on CUDA experience and a deep understanding of GPU architecture and performance.

Requirements

  • 5+ years of experience building high-performance computing, GPU/accelerator software, or performance-critical systems
  • Hands-on CUDA experience
  • Deep understanding of GPU architecture and performance
  • Strong coding in C++ and Python
  • Familiarity with model-serving stacks (vLLM, TensorRT-LLM, llm-d, SGLang)

Benefits

  • Medical, dental, and vision insurance
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

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