About this role
Develop high-performance kernels and low-level optimizations to maximize the speed of the vLLM inference engine. Collaborate with hardware vendors to ensure maximum performance extraction from various accelerator generations.
Requires a bachelor's degree and deep expertise in CUDA kernel writing and GPU architecture. Proficiency in C++, Python, and performance profiling tools is essential.
What they're looking for
CUDAC++PythonGPU ArchitectureKernel OptimizationTritonCuTeDSLTileLang
Frequently asked questions
What does a Member of Technical Staff, Kernel Engineering at Inferact do?
Develop high-performance kernels and low-level optimizations to maximize the speed of the vLLM inference engine. Collaborate with hardware vendors to ensure maximum performance extraction from various accelerator generations. Requires a bachelor's degree and deep expertise in CUDA kernel writing and…
What skills does this Member of Technical Staff, Kernel Engineering role need?
Key skills for this role include CUDA, C++, Python, GPU Architecture, Kernel Optimization, Triton.
How much does a Member of Technical Staff, Kernel Engineering at Inferact pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Member of Technical Staff, Kernel Engineering role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Member of Technical Staff, Kernel Engineering role?
You can apply directly on Inferact's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.