Remote GPU Kernel & ML Systems Researcher — Contract

OpenTrain AI, Inc.; United States; À distance; USD 57 000 - 81 000; Plein temps

Avantages offerts par ce poste

Remote work

Asynchronous contract work

Résumé du poste

OpenTrain AI, Inc. is seeking a GPU Kernel and ML Systems Researcher to design self-contained coding tasks for GPU kernels and ML systems. You will review AI model outputs against technical standards and provide feedback grounded in research expertise.

The role emphasizes CUDA, Triton, CUTLASS kernels, inference serving, and ML compilers. This remote contract position collaborates with a project lead to ensure tasks are accurate, rigorous, and suitable for research evaluation.

Qualifications

• PhD in Computer Science or closely related field.
• Proven depth in CUDA, Triton, CUTLASS kernels, or ML compilers.
• Experience reviewing ML-system research artifacts and reproducible experiments.

Responsabilités

• Create self-contained technical coding tasks for GPU kernels and ML systems.
• Review AI model outputs against ML research standards.
• Provide technically grounded feedback on model performance and correctness.
• Apply your research perspective to self-contained technical work.

Connaissances

CUDA

Triton

CUTLASS

ML compilers

Formation

PhD in Computer Science

Outils

GitHub

Docker

Description du poste

OpenTrain AI, Inc. is seeking a GPU Kernel and ML Systems Researcher to design self-contained coding tasks for GPU kernels and ML systems. You will review AI model outputs against technical standards and provide feedback grounded in research expertise.

The role emphasizes CUDA, Triton, CUTLASS kernels, inference serving, and ML compilers. This remote contract position collaborates with a project lead to ensure tasks are accurate, rigorous, and suitable for research evaluation.