Research Platform - Software Engineer at Qube Research & Technologies (Hong Kong, China)
Qube Research & Technologies· Hong Kong, China·
Job description
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.
As part of our Research Platforms team, you will design and build the distributed systems that enable large-scale computational workloads to run efficiently, securely, and reliably across our global research infrastructure.
This role sits at the intersection of distributed systems, platform engineering, and high-performance computing. You will work on the foundational services researchers depend on every day, including workload orchestration, scheduling, security, observability, and platform tooling.
What You'll Do
- Design, build, and operate distributed services that manage compute workloads and data access across large-scale infrastructure
- Develop platform APIs and tooling that improve the productivity of quantitative researchers
- Improve the reliability, scalability, and performance of compute-intensive research workflows
- Build solutions for scheduling, resource management, observability, and security
- Partner closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities
- Take ownership of systems end-to-end, from design and implementation through production operation
What We're Looking For
Required
- BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience
- 5+ years of experience building and operating large-scale distributed systems in production
- Strong proficiency in C++, Java, Rust, Go, or similar systems languages
- Strong understanding of distributed systems, concurrency, performance, reliability, and fault tolerance
- Experience designing services, platforms, or infrastructure used by other engineers
Preferred
- Experience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments
- Familiarity with GPU-accelerated workloads and modern ML frameworks such as PyTorch or TensorFlow
- Experience supporting researchers, data scientists, or other highly technical users
- Exposure to quantitative finance or large-scale data-intensive environments
Why Join QRT?
- Solve challenging distributed systems and infrastructure problems at scale
- Build platforms that directly accelerate research and innovation
- Work closely with world-class quantitative researchers and engineers
- Take ownership of critical systems in an environment that values technical excellence, autonomy, and impact
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.
Why work at Qube Research & Technologies
- Compensation & Career Growth: Highly competitive pay. Interns can earn around $12k per month. Over 40% of staff are in a deferred compensation plan with exposure to fund performance. Glassdoor rating of 4.1/5.0, with compensation (4.0) and career opportunities (4.1) as top highlights.
- Culture & Demographics: Young, high-performance culture (74% of staff aged 40 or under, 38% aged 30 or under). 90% of staff reported good team morale in an internal survey. Described as a "fertile ground for experimental research."
- Work Environment: Hybrid/office-based depending on role and location. Offices in London (HQ), Paris, Hong Kong, Singapore, New York, Chicago, Dubai, Mumbai, Geneva, and more. New London office in Victoria.
- Notable Perks: Deferred compensation plan with fund performance exposure. Interns can earn around $12k per month. Strong focus on work-life balance initiatives.
- Engineering Culture: Heavy emphasis on technology (Python, C++, C#, Snowflake, FPGA, low-latency systems, MLflow, Kubernetes). 22% of staff are in Research roles, 6% in Technical roles. Strong support for coding initiatives and academic projects in maths and science.