Top Software Engineer Jobs in NYC, NY

As a Quantitative Software Engineer, you will improve trading technologies, build statistical analysis tools, design compute infrastructure, and collaborate with quantitative researchers. You will also establish engineering best practices within the team.

As a Data Production Engineer, you will support trading teams by automating data workflows, analyzing datasets, and ensuring data quality. Your role involves debugging data issues, providing production support, and collaborating with various stakeholders to enhance data processes.

As a Systems Software Engineer, you will focus on tool development in Python. Responsibilities include improving and integrating existing tools, troubleshooting software bugs on Linux machines, and writing configuration management code. This role requires strong Python skills and experience with Unix systems.

Seeking an experienced FPGA verification engineer to create testbenches and tests for the FPGA platform, write verification plans, debug RTL bugs, manage regression and continuous integration infrastructure, and develop/improve tools. Must have strong background in RTL functional verification and experience with Python, Linux, and networking protocols.

As a Senior Python Engineer at Hudson River Trading, you will develop software using Python for various applications including job orchestration, data processing, and system monitoring. Your role involves collaborating with teams, improving internal tools, and optimizing code to enhance productivity. You will work in a cutting-edge environment and contribute to high-impact trading initiatives.

The Senior Network Engineer will design, manage, and maintain a low-latency trading network, ensuring high performance and availability while collaborating with Systems and Trading Operations teams. Responsibilities include routing configuration, troubleshooting, capacity planning, and enhancing the global trading infrastructure.

The Market Structure Optimization Engineer will analyze network and exchange data, optimize trading interactions, automate metrics visualization, and conduct experiments to improve the performance of trading infrastructure.