What You’ll Do

• Design, implement, and optimize proprietary libraries and machine learning pipelines that power large-scale research and trading systems

• Build and scale distributed and cloud-powered computing infrastructure to support complex AI, ML, statistical, and scientific workloads

• Leverage modern computer architectures to improve system throughput and cost efficiency

• Collaborate with global teams of world-class engineers and researchers across North America, Europe, and Asia

• Identify and resolve performance bottlenecks across software, operating systems, and distributed environments

Qualifications

• Strong experience in C++ and/or Python

• Deep understanding of systems programming, HPC, or parallel and distributed computing

• Familiarity with high-performance computer architectures and modern compute hardware

• Proven experience with performance tuning at multiple layers - from OS to distributed systems

• Background in ML systems, algorithms, or numerics is highly desirable

• Strong problem-solving mindset and interest in building scalable, high-efficiency computing solutions