Teams at Qube Research & Technologies

Architect, engineer, and oversee delivery of complex, high-performance network infrastructure, especially colocation and ultra-low-latency trading networks. Manage the full lifecycle of switching, firewalls, load balancers, telemetry, CMDB, and automation systems. Partner with project teams, vendors, and engineering groups to deliver scalable software-driven networks supporting corporate and exchange infrastructure.

Manage large datasets across research and trading platforms by designing data stores and APIs, monitoring data-process health and performance, delivering production-ready datasets, and supporting researchers and traders. The role involves Python-based data engineering in a low-latency environment, collaboration with technical and investment professionals, and developing expertise in high-performance real-time trading systems.

Design and build ultra-low-latency FPGA hardware systems for quantitative trading platforms. Develop custom logic for fast market-data processing and order execution using SystemVerilog, C++, and Python. Optimize designs for performance, resource usage, power efficiency, and reliability while collaborating with experienced engineers. The 3–6 month 2027 program is intended for penultimate or final-year Bachelor's, Master's, or PhD students and may lead to a graduate position.