ML Systems Performance Engineer

Quant Blueprint LLC; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

Quant Blueprint LLC is seeking an engineer proficient in low-level systems programming and optimization to enhance our machine learning team. This role centers on optimizing model performance, both for training and real-time inference. Applicants should have experience with modern ML techniques, GPU knowledge, and debugging skills in CUDA.

The ideal candidate will thrive in a dynamic atmosphere with a collaborative mindset and strong problem-solving abilities. A solid understanding of networking technologies and collective algorithms is essential.

Qualifications

• Experience debugging a training run's performance end to end.
• Optimisation experience with high-throughput inference.
• Background in networking technologies like Infiniband and NVLink.

Responsibilities

• Optimise the performance of ML models during training and inference.
• Ensure effective large-scale training and low-latency inference.
• Ask critical questions about current approaches and tools.

Skills

Understanding of modern ML techniques and toolsets

Low-level GPU knowledge of PTX, SASS, warps

Debugging experience using tools like CUDA GDB

Library knowledge of Triton, cuDNN

Fluency in English

Tools

CUDA GDB

NSight Systems

NCCL

Job description

Quant Blueprint LLC is seeking an engineer proficient in low-level systems programming and optimization to enhance our machine learning team. This role centers on optimizing model performance, both for training and real-time inference. Applicants should have experience with modern ML techniques, GPU knowledge, and debugging skills in CUDA.

The ideal candidate will thrive in a dynamic atmosphere with a collaborative mindset and strong problem-solving abilities. A solid understanding of networking technologies and collective algorithms is essential.