We are looking for high performance computing developers to build tools that efficiently process large amounts of data, produce features, and perform calculations using HPC techniques, ML training/inference, GPUs, and custom FPGA accelerators. Our team includes 100+ researchers who are constantly developing new features and models to drive trading strategies. As our data and computational demands grow, we are expanding our infrastructure team to ensure our researchers can work efficiently and effectively in a fast-paced environment.

In this role, you will: 

• Design and develop scalable, high-performance tools for data processing and ML workflows that support trading research and model development.
• Identify and resolve computational bottlenecks in large-scale systems used for quantitative analysis.
• Collaborate closely with quantitative researchers to understand their needs and translate them into robust, user-friendly tools.
• Build and maintain a research environment that is both powerful and easy to use, enabling rapid experimentation and deployment.

• You have strong experience in HPC development, including parallel programming.
• You’re proficient in Python, C/C++, or similar languages used in scientific and quantitative computing.
• You’re familiar with ML frameworks and large-scale data pipelines.
• You’ve worked with GPUs and/or custom accelerators like FPGAs.
• You enjoy performance tuning and building tools that empower others to do their best work—especially in a trading or financial context.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.