High Performance Computing (HPC) Developer

High Performance Computing (HPC) Developer

About Us

We are looking for engineers 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.

Responsibilities

• 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.
• 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 Might Be a Good Fit If :

About Susquehanna

Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines : Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.

What we do

We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.

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