Distributed Compute Tech Lead (Chicago)

About the Role

An elite high frequency trading firm is seeking a Distributed Compute Tech Lead to design and operate large-scale computing systems that powers quantitative research. This role focuses on improving research efficiency by building robust infrastructure, APIs, and libraries that abstract complexity and enable researchers to innovate faster. You will serve as a bridge across disciplines, collaborating with researchers, engineers, and leadership to shape technology direction and strategy for the firm's research platform.

Key Responsibilities

• Architect and operate distributed or high-performance computing systems at scale, ensuring reliability, scalability, and performance.
• Design and implement APIs and libraries that abstract infrastructure complexity, making compute resources easily accessible to researchers.
• Optimize job scheduling and resource allocation using tools like SLURM and other HPC schedulers.
• Collaborate with researchers to identify bottlenecks and deliver solutions that accelerate research workflows.
• Partner with leadership and cross-functional teams to define technology strategy and influence long-term direction.
• Develop automation and orchestration tools for compute-intensive tasks.
• Establish best practices for distributed computing and mentor team members on HPC resource management.

Required Qualifications

Preferred Qualifications

This is a hybrid role out of the firms Chicago office working in person 3 days per week, 2 days remote.