Latency-Critical CUDA Kernel Engineer

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 100,000 - 130,000; Full time

Job summary

Susquehanna International Group is seeking a GPU Performance Engineer in Bala Cynwyd, Pennsylvania. In this role, you will design and optimize CUDA kernels for low-latency inference workloads, working closely with quantitative researchers. This position requires strong expertise in GPU architecture and programming in C/C++. A PhD in a quantitative field is preferred. The role focuses on enhancing performance for various structured inference workloads and demands a solid understanding of GPU hardware and optimization techniques.

Qualifications

• Strong proficiency in writing and optimizing CUDA kernels.
• Deep understanding of GPU architecture.
• Experience with quantitative research teams or financial models.

Responsibilities

• Design, implement, and optimize custom CUDA kernels.
• Analyze research models to identify opportunities for optimization.
• Collaborate with quantitative researchers to translate models into compute pipelines.

Skills

Proficiency in CUDA

C/C++ programming

Problem-solving skills

GPU architecture knowledge

Education

PhD in mathematics, physics, computer science, engineering, or related quantitative field

Tools

ONNX Runtime

TensorRT

Job description

Susquehanna International Group is seeking a GPU Performance Engineer in Bala Cynwyd, Pennsylvania. In this role, you will design and optimize CUDA kernels for low-latency inference workloads, working closely with quantitative researchers. This position requires strong expertise in GPU architecture and programming in C/C++. A PhD in a quantitative field is preferred. The role focuses on enhancing performance for various structured inference workloads and demands a solid understanding of GPU hardware and optimization techniques.