Remote GPU Kernel Engineer CUDA/Triton Performance Debugging

Anyone AI Inc.; Argentina; A distancia; ARS 125.965.000 - 251.931.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Descripción de la vacante

Anyone AI Inc. is seeking an experienced GPU Kernel Engineer for a remote, part-time, project-based engagement focused on reviewing, debugging, and evaluating high-performance compute kernels used in AI workloads.

You will optimize kernels across CUDA and Triton, assess numerical correctness, memory behavior, and performance, and provide actionable feedback to improve efficiency on target hardware. Candidates should have 3+ years of hands-on kernel work and be comfortable translating kernels

Formación

• 3+ years of hands-on experience developing, debugging, or optimizing GPU kernels.
• Strong understanding of GPU architecture, memory hierarchy, and numerical correctness.

Responsabilidades

• Review GPU/accelerator kernel implementations for correctness and performance.
• Benchmark and verify numerical tolerance against reference results.
• Provide actionable feedback to improve kernel efficiency across CUDA/Triton and hardware targets.

Conocimientos

GPU kernel debugging

kernel optimization

Herramientas

CUDA

Triton

Nsight / profilers

Descripción del empleo

Anyone AI Inc. is seeking an experienced GPU Kernel Engineer for a remote, part-time, project-based engagement focused on reviewing, debugging, and evaluating high-performance compute kernels used in AI workloads.

You will optimize kernels across CUDA and Triton, assess numerical correctness, memory behavior, and performance, and provide actionable feedback to improve efficiency on target hardware. Candidates should have 3+ years of hands-on kernel work and be comfortable translating kernels