Remote GPU Kernel Engineer — Performance & Validation (Contract)

Cashback24x7; Indiana; Hybrid; USD 96,000 - 124,000; Part time

Benefits offered by this job

Referral reward

Remote work

Job summary

Mercor is seeking a GPU Kernel Expert for an hourly remote contract based in the United States. You will evaluate and improve GPU/accelerator kernel tasks, ensuring numerical correctness and performance.

Responsibilities include identifying failure modes, benchmarking, and contributing to kernel-related projects in a frontier AI lab environment. The role requires 3+ years of hands-on kernel work with CUDA/Triton/NKI/Pallas or JAX, plus strong profiling and optimization skills.

Qualifications

• 3+ years of hands-on experience developing, optimizing, or verifying GPU/accelerator kernels in at least two of: CUDA, Triton, NKI, or Pallas (JAX)
• Strong understanding of numerical-correctness criteria for kernels (absolute/relative/ULP tolerances, reference-implementation selection)
• Demonstrated experience with performance profiling and benchmarking (nsight, ncu, roofline analysis, or framework-native profilers)
• Familiarity with common compilation and runtime failure modes (driver mismatches, OOM, launch-configuration errors, shape/stride mismatches, autotuning failures)
• Experience with at least three kernel task types: generation from specification, translation/lowering across frameworks, migration between hardware targets, debugging, performance optimization, or operator fusion

Skills

CUDA

Triton

NKI

Pallas

JAX

Nsight

ncu

Roofline

OOM

Tools

MLIR

IR lowering

Job description

Mercor is seeking a GPU Kernel Expert for an hourly remote contract based in the United States. You will evaluate and improve GPU/accelerator kernel tasks, ensuring numerical correctness and performance.

Responsibilities include identifying failure modes, benchmarking, and contributing to kernel-related projects in a frontier AI lab environment. The role requires 3+ years of hands-on kernel work with CUDA/Triton/NKI/Pallas or JAX, plus strong profiling and optimization skills.