Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “San Francisco; Remote; Boston; Remote”
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About this role
Liquid Ai is hiring for a Member of Technical Staff - GPU Performance Engineer role (full-time). See the official posting for full details.
Requirements
- Authored custom CUDA kernels (not only calling cuDNN/cuBLAS)
- Strong understanding of GPU architecture and performance: memory hierarchy, warps, shared memory/register pressure, bandwidth vs compute limits
- Proficiency with low-level profiling (Nsight Systems/Compute) and performance methodology
- Strong C/C++ skills
Summarized from the employer's posting — check the full posting for every requirement.
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