2027 Internship/Graduate - FPGA Engineer

Programme duration: from 3 to 6 months, starting in 2027.

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's, PhD.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.

FPGA Engineering

As part of QRT's FPGA team, you will design and build ultra-low-latency hardware systems that power QRT’s trading platforms. By developing custom logic directly on cutting-edge FPGA devices, we enable trading strategies to process market data and execute orders with exceptional speed and precision. Working at the intersection of hardware and software, the team uses SystemVerilog, C++, and Python to deliver high-performance, reliable solutions that give QRT a competitive edge in global markets.

Your present skillset

• Passion for Technology: Demonstrated interest in technology and engineering through achievements in software or hardware projects, whether academic, personal, or hobby-based — formal Computer Science training is not essential.

• Technical Skills:

• Experience or coursework in HDL (e.g., SystemVerilog, Verilog, or VHDL)

• Programming skills in C++ and/or Python

• Understanding of digital logic design, computer architecture, and high-speed interfaces

• Familiarity with FPGA toolchains (e.g., Xilinx Vivado, Intel Quartus) is a plus

• Analytical & Problem-Solving Skills: Ability to troubleshoot and optimise designs for performance, resource usage, and power efficiency.

• Mindset: Proactive, curious, and unafraid to ask questions. Able to identify and implement optimisations that improve