$65/hr
GPU Kernel Engineer – CUDA, Triton & Accelerator Performance
Role overview
Job description
Anyone AI is recruiting experienced GPU Kernel Engineers for a specialized project focused on reviewing, debugging, and evaluating high-performance compute kernels used in AI workloads. We’re looking for engineers with hands-on experience writing and optimizing kernels across frameworks such as CUDA, Triton, NKI, or Pallas , with a strong understanding of numerical correctness, GPU performance, memory optimization, and benchmarking. What You’ll Work On You’ll work with GPU and accelerator kernel tasks involving: Kernel implementation and debugging CUDA and Triton optimization Translation between kernel frameworks Hardware migration Operator fusion Performance profiling and benchmarking Numerical correctness verification Compilation and runtime debugging Memory hierarchy optimization Kernel-level AI workload performance You’ll assess whether implementations are technically correct, effici
…About this listing
- Source: Anyone AI's official careers site (via Ashby) · last confirmed on the source 29 Oct 2026
- Posted 15 Sept 2026
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What they are looking for
Skills & requirements
Department · Software Engineering
Hiring company
Anyone AI
El AI Fellowship de Anyone AI es un programa de 4 meses, 100% remoto y en vivo, para pasar de Software Developer a AI Engineer con clases en vivo.
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