Develop and maintain the OS and software stack for trading hardware, support production systems, and collaborate with hardware and infrastructure teams.

The Software Engineer will research and develop software for trading hardware performance, collaborate with various teams, and analyze behavior of devices in trading environments.

As a Quantitative Researcher, you'll conduct research, develop models for trading strategies, collaborate with colleagues, and enhance trading algorithms.

Lead technical projects, set direction for trading infrastructure, design and maintain systems, collaborate with teams, and ensure coding standards.

Design and maintain trading systems while collaborating with traders and analysts, focusing on engineering solutions for complex financial problems.

The Machine Learning Research Engineer will conduct research on deep learning for price forecasting and build robust training and inference pipelines, enhancing functionality and collaborating with teams.

As a Machine Learning Researcher, you'll create and enhance ML models for trading strategies, collaborate on research, and optimize workflows.

Design, implement, and verify FPGA and ASIC hardware solutions, accelerating trading systems and integrating low-latency techniques in collaboration with software engineers and traders.

The Machine Learning Performance Engineer will build scalable training and inference pipelines, enhance deep learning frameworks, identify performance bottlenecks, and collaborate with engineers and researchers to improve trading systems.

This is an internship opportunity for students pursuing degrees in STEM fields, aimed at engaging them for potential roles in 2026. Interns will receive training and work on business problem initiatives.