GPU Developer (CUDA)

Location: Hong Kong, Hong Kong; onsite

Company

Quantitative trading firm focused on market making, market taking, and derivatives trading across global financial markets.

What you will do

• Design, implement, and optimize custom CUDA kernels for latency-critical inference workloads.
• Develop GPU implementations tailored to compact neural networks, tree-based models, and other structured inference workloads.
• Analyze quantitative research models and computational bottlenecks to identify parallelization and hardware-efficiency opportunities.
• Translate mathematical models into production-grade, high-performance compute pipelines in collaboration with quantitative researchers.
• Optimize inference through kernel tuning, memory-layout design, execution strategies, I/O optimization, and precision tradeoffs.
• Profile and benchmark GPU performance while improving production latency, throughput, and efficiency.

Requirements

• Strong proficiency in writing and optimizing CUDA kernels.
• Solid programming experience in C or C++.
• Deep understanding of GPU architecture, including memory hierarchy, SIMT execution, occupancy, and latency-throughput tradeoffs.
• Ability to reason about numerical stability, precision, performance tradeoffs, and hardware-efficient model design.
• Strong problem-solving skills and comfort working with low-level systems.

Nice to have

• PhD in mathematics, physics, computer science, engineering, or a related quantitative field.
• Background in linear algebra, probability, numerical methods, or scientific computing.
• Experience with quantitative research teams, financial models, or real-world inference optimization beyond baseline frameworks and libraries.
• Familiarity with PTX behavior, tensor core utilization, architecture-specific tuning, kernel fusion, custom operators, model compilation, or graph-level optimization.
• Exposure to ONNX Runtime, TensorRT, Triton, TVM, neural networks, tree-based models, or state space models.

Culture & Benefits

• Collaborative work with infrastructure, strategy development, engineering, and quantitative research teams.
• Opportunities to contribute to systems supporting trading operations in the region and globally.
• Access to work involving leading-edge hardware and software technologies at significant scale.
• Competitive employee perks and benefits.
• Supportive environment for continuous learning, innovation, and problem solving.