Software Engineer - HFT Research Platform - Python

Software Engineer – Research Platform (Austin)

We're partnering with a leading quantitative trading firm to hire multiple Software Engineers into a team responsible for building the infrastructure that powers quantitative research across the business.

The team develops distributed systems, compute platforms and developer tooling that enable researchers to run large-scale simulations, process massive datasets and scale thousands of experiments efficiently.

You'll work on:

• Distributed systems and platform infrastructure
• Compute, scheduling and workflow orchestration
• Data-intensive applications and research tooling
• Performance, scalability and reliability challenges
• Building platforms used directly by researchers and engineers

We're interested in speaking to engineers with experience in:

• Distributed Systems
• Platform Engineering
• Compute / ML Infrastructure
• Data Platforms
• Cloud Infrastructure

Tech stack: Python and Rust/C/C++

Requirements:

• 3+ years of software engineering experience
• Strong computer science fundamentals
• Experience building scalable systems, platforms or infrastructure
• Strong problem-solving and system design skills

Salary/Total Compensation: Open - based on expectations, performance and seniority