Software Developer Productivity Engineer | HPC | Experienced

Overview

Susquehanna is looking for an experienced Software Build Engineer with deep knowledge of C++ build tools and a passion for Developer Productivity. The build tools are used for building trading desk’s low latency, high performance infrastructure and applications.

If you join us, you might be:

• Working on design, develop and maintain build tools, utilities and infrastructure utilized to support software development lifecycle.
• Working with our developers and systems engineers to ensure all software components in the stack are easy to build, test, and compose together.

Major responsibilities include:

• Optimize C++ build times using distributed compilation, object caches, careful dependency management, and refactoring of C++ code.
• Ensure compatibility of operating system (Linux and Windows), open source, and in-house code using package managers (Spack/Conda) and careful attention to ABI compatibility and compile flags.
• Catch bad code with continuous integration (Team City), static analysis, profiling/coverage tools, and custom dashboards providing insight into what is broken.
• Package C++, Python, and Python extensions for easy deployment

• 4+ years of experience working with build systems with large code base
• Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Mathematics or a related technical field and five years of software development experience required
• C/C++ and Python coding experience in a Linux environment required
• Experience with make and CI/CD methodologies required
• Experience with orchestrating automated build and regression tests on distributed build farm
• Experience working with geographically distributed C++/Python software engineers is a plus

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies.

By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.