2027 – Internship, Infrastructure Engineering

Programme Details

Location: Hong Kong, Singapore, Shanghai

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

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

About Qube Research & Technologies (QRT)

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 and collaborative, with plenty of scope to ask questions, explore different approaches, 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 will work to align your skills, interests, and potential with the teams where you can make the greatest impact.

Teams and Responsibilities

Infrastructure

The Infrastructure team looks after the on-premise hardware and operating systems behind our production trading environment. The work goes well beyond keeping systems running: engineers measure and optimise hardware performance, investigate Linux internals, and tune systems where small changes can make a meaningful difference. You’ll develop a detailed understanding of how hardware and software interact and how to make production systems faster, more stable, and more predictable.

Research Infrastructure

Research Infrastructure builds and operates the high-performance compute, networking, and storage systems behind QRT’s research. These systems support large-scale data processing, advanced analytics, and machine learning and AI workloads using technologies such as PyTorch.

The team works closely with researchers to understand what their workloads need and design infrastructure that can meet those demands efficiently. The aim is simple: give researchers reliable, scalable compute so they can spend more time on research and less time thinking about the infrastructure underneath it.

HPC Storage

The HPC Storage team builds and operates the high-performance storage infrastructure behind large-scale research and computing workloads across QRT. The problems involve moving and serving large volumes of data reliably, securely, and quickly enough to support demanding simulations and analyses.

You’ll work with enterprise-scale storage technologies and collaborate with engineers, researchers, and technology vendors. It’s an opportunity to understand storage at scale—from the underlying architecture and performance characteristics to the way researchers and compute systems interact with it.

Network Operations

Network Operations is responsible for the availability, reliability, and security of QRT’s global network, connecting the systems behind our research and trading activities. The team investigates incidents, develops observability tooling, and builds automation to make operating the network more reliable and efficient.

Alongside day-to-day operations, the team works on the infrastructure needed for high-performance compute and low-latency trading. This means understanding how networks behave in practice, finding the source of difficult problems, and looking for ways to make systems simpler to operate and easier to observe.

DevOps

Platform Engineering builds and automates the infrastructure, tools, and workflows behind QRT’s research and trading platforms. Working across cloud and on-premise environments, the team brings together DevOps, cloud, networking, security, infrastructure, and software engineering.

You’ll work on the systems that allow researchers and developers to build, deploy, and operate technology efficiently at scale. This could mean improving deployment workflows, automating infrastructure, or finding better ways to make complex systems reliable and repeatable.

SRE

Site Reliability Engineering sits at the intersection of software engineering, quantitative research, and trading. Working closely with researchers and traders, the team builds reliable, high-performance systems and develops tooling and automation for deployment, monitoring, operations, and incident response.

The work combines software engineering with an interest in how systems behave in production. You’ll investigate technical problems, improve observability, and help design systems that remain resilient as they scale, while developing an understanding of the quantitative workflows they support.

Your Present Skillset

Eligibility

Penultimate or final-year students pursuing a Bachelor’s or Master’s in a STEM discipline, such as Computer Science, Information Technology, Networks, or a related subject.

Interest in Technology

We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work, or open-source contributions.

Technical Skills

You don’t need experience with everything below. Depending on the team, relevant knowledge and experience may include:

• Programming or scripting in languages such as Python or Bash.
• Tools such as Git, SQL, and GCC.
• Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals.
• An understanding of storage concepts such as RAID, erasure coding, file systems, and networking protocols.
• Knowledge of networking concepts including TCP/IP and Ethernet.
• Experience with monitoring and observability tools such as Grafana, Prometheus, and PromQL.
• Hands-on experimentation with Linux, such as building Linux systems on laptops or Raspberry Pis, or working with custom Android installations—particularly for on-premise Infrastructure roles.

Mindset

Curious about how systems work and comfortable getting into the detail when something doesn’t behave as expected. You approach problems methodically, ask questions, and look for practical ways to improve performance or reliability.

Approach

Self-motivated, collaborative, and comfortable taking ownership of a technical 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 coding challenge focused on core programming and problem-solving skills.
• Online Interviews: Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems, and how you work with others.