2027 Internship/Graduate - FPGA Engineering

Posted 2 Days Ago
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London, Greater London, England, GBR
In-Office
Internship
Financial Services
The Role
Contribute to production FPGA systems for ultra-low-latency trading. Design, optimize, test, verify, and integrate hardware and software components using SystemVerilog, C++, and Python. Analyze latency, resource utilization, and power efficiency while debugging designs and developing functionality for market-data processing and order execution. Collaborate with hardware and software engineers and support research into improved FPGA performance.
Summary Generated by Built In

2027 – Internship or Graduate, FPGA Engineering 

Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities 

Location: London

Programme duration: 3–6 months, or full-time graduate, starting in 2027 

Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. 

Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. 

Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. 

Your future role at QRT 

Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. 

QRT’s FPGA team builds ultra-low-latency hardware for our trading systems. By implementing custom logic directly on FPGA devices, the team can process market data and execute orders with tight control over latency, throughput and system behaviour. 

The work sits at the boundary between hardware and software. We use SystemVerilog, C++ and Python to design, verify and integrate FPGA systems into our wider trading infrastructure. The problems are technically demanding: small design decisions can have measurable consequences, and performance needs to come with reliability. 

As an intern or graduate in the FPGA team, you will: 

  • Build production FPGA systems – Contribute to the design, development and optimisation of FPGA-based platforms used in live trading. 
  • Work across hardware and software – Use SystemVerilog, C++ and Python to build, test and refine high-performance, low-latency systems. 
  • Develop and verify new functionality – Implement FPGA features that improve how our systems process market data and execute orders, and build the tests needed to verify them. 
  • Integrate systems – Work with hardware and software engineers to connect FPGA components with QRT’s broader trading infrastructure. 
  • Analyse performance – Debug and profile designs, investigating latency, resource utilisation and other constraints to understand where improvements can be made. 
  • Work with modern FPGA technology – Gain hands-on experience with FPGA hardware, development tools and verification workflows used in low-latency trading. 
  • Explore new approaches – Contribute to research and development aimed at improving the performance and capabilities of our FPGA systems. 

Your present skillset 

  • Interest in technology: You enjoy understanding how systems work and have explored that interest through software or hardware projects, whether academic, personal or hobby-based. Formal Computer Science training is not essential. 
  • HDL experience: Experience or coursework using an HDL such as SystemVerilog, Verilog or VHDL. 
  • Programming: Experience with C++ and/or Python. 
  • Technical foundations: An understanding of digital logic design, computer architecture and high-speed interfaces. 
  • FPGA tools: Familiarity with FPGA development toolchains such as Xilinx Vivado or Intel Quartus is useful, but not essential. 
  • Problem solving: You can reason through technical problems methodically, troubleshoot designs and think about trade-offs between performance, resource utilisation and power efficiency. 
  • Mindset: Curious, proactive and comfortable asking questions. You look for opportunities to understand systems more deeply and improve how they perform. 
  • Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. 

Interviewing  

  • Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. 
  • Technical Assessment – Selected candidates will complete a technical interview with the relevant team. 
  • Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Skills Required

  • Penultimate- or final-year student completing a bachelor's or master's degree
  • Experience or coursework using an HDL such as SystemVerilog, Verilog, or VHDL
  • Experience with C++ and/or Python
  • Understanding of digital logic design, computer architecture, and high-speed interfaces
  • Ability to reason through technical problems methodically and troubleshoot designs
  • Familiarity with FPGA development toolchains such as Xilinx Vivado or Intel Quartus
  • Curious, proactive, self-motivated, and comfortable taking ownership of problems

Qube Research & Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Research & Technologies and has not been reviewed or approved by Qube Research & Technologies.

  • Wellbeing & Lifestyle Benefits Office amenities such as free meals, social events, and wellness-focused workspaces are highlighted in multiple locations. Cycle-to-work schemes and onsite classes in Europe further enhance day-to-day quality of life.
  • Leave & Time Off Breadth Two paid volunteer days and corporate donation matching were introduced firmwide. Some locations also cite generous annual leave allowances with options to buy additional days.
  • Healthcare Strength Private medical coverage and life insurance are called out for the UK. Job listings reference health insurance in various regions, though specifics differ by office.

Qube Research & Technologies Insights

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The Company
HQ: London
774 Employees

What We Do

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 QRT’s 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. We currently have multiple open positions on our website, please get in touch! Our commitments: https://www.qube-rt.com/commitments

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