GPU Performance Engineer
Susquehanna International Group2 months ago
Hong Kong, Hong KongMid Level
Responsibilities
- Design, implement, and optimize custom CUDA kernels for latency-critical inference workloads.
- Develop GPU implementations tailored to specific model structures.
- Analyze computational bottlenecks and identify parallelization and hardware-efficiency opportunities.
- Translate mathematical and quantitative research models into high-performance compute pipelines.
- Optimize inference through kernel tuning, memory-layout design, execution strategies, I/O optimization, and precision tradeoffs.
- Profile and benchmark GPU performance and improve latency and throughput in production inference systems.
- Contribute to GPU architecture decisions and performance best practices.
Requirements
- Strong proficiency writing and optimizing CUDA kernels.
- Solid programming experience in C/C++ is preferred.
- 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 efficiency.
- Strong problem-solving skills and comfort working with low-level systems.
- Preferred: PhD in Mathematics, Physics, Computer Science, Engineering, or a related quantitative field.
- Preferred: background in linear algebra, probability, numerical methods, or scientific computing.
- Preferred: experience with quantitative research teams or financial models.
- Preferred: demonstrated ability to improve real-world inference performance beyond baseline frameworks or libraries.
- Preferred: familiarity with PTX-level behavior, tensor core utilization, or architecture-specific tuning.
- Preferred: exposure to ONNX Runtime, TensorRT, Triton, TVM, or similar systems.
- Preferred: exposure to neural networks, tree-based models such as LightGBM, and state space models such as Mamba architectures.
- Preferred: experience with kernel fusion, custom operators, model compilation, or graph-level optimization.
Benefits
- Competitive employee perks and benefits.
- Collaboration with infrastructure and strategy developer teams supporting scalable systems for global trading.
- On-site role, as indicated by the #LI-Onsite posting tag.
- Reasonable adjustments are available during the recruitment process.
Tech Stack
Categories
About Susquehanna International Group
Susquehanna International Group (SIG) is a privately held quantitative trading firm and global market maker that uses proprietary technology and research to trade equities, options, ETFs, fixed income, and other derivatives. It earns revenue from proprietary trading and providing market liquidity, and also operates institutional sales & research and venture capital/private equity businesses. Founded in 1987 and headquartered in Bala Cynwyd, Pennsylvania, SIG has offices across North America, Europe, and Asia.