Research Platform - Software Engineer

The role

You will design and build distributed systems that enable large-scale computational workloads across global research infrastructure. The role involves working on workload orchestration, scheduling, security, observability, and platform tooling.

What you will do

• Design, build, and operate distributed services that manage compute workloads and data access
• Develop platform APIs and tooling to improve quantitative researcher productivity
• Improve reliability, scalability, and performance of compute-intensive research workflows
• Build solutions for scheduling, resource management, observability, and security
• Partner with researchers and infrastructure teams to translate requirements into platform capabilities
• Take ownership of systems from design and implementation through production operation

Required qualifications

• 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

Nice to have

• 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

Benefits

• Initiatives and programs to enable employees achieve a healthy work-life balance

About the company

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager. It is a technology and data driven group implementing a scientific approach to investing.