Staff Software Engineer - R&D

• Strong expertise in C or C++ for low-latency, high-performance software development.
• Deep understanding of computer architecture, concurrency, and optimization techniques.
• Experience with networking protocols (Ethernet, TCP/IP, InfiniBand) and low-level networking knowledge.
• Exposure to hardware acceleration (FPGAs, GPUs, or ASICs) and their integration with software.
• Proficiency in data analytics tools (Python, MATLAB, NumPy) for performance analysis and research.
• Strong problem-solving skills and a passion for pushing the boundaries of computing performance.
• A degree in Electrical/Computer Engineering, Computer Science, or a related field.

• Unparalleled Compensation: A highly competitive package, with potential earnings exceeding $900k+, reflecting the critical impact of your contributions.
• Technical Mastery: Work on some of the most advanced problems in performance engineering, system optimization, and trading acceleration.
• Elite Collaboration: Be part of a world-class team of engineers, researchers, and traders pushing the frontiers of technology.
• Endless Innovation: Leverage the latest advancements in computing and research to shape the future of trading technology.

This is not just a job-it’s an opportunity to be at the forefront of high-performance computing and algorithmic engineering. If you’re excited about working on complex, high-stakes problems in a dynamic and fast-moving environment, we’d love to hear from you.

Are you a world-class engineer passionate about pushing the limits of high-performance computing, real-time acceleration, and cutting-edge research? Join a top-tier team driving innovation at the intersection of software, hardware, and algorithmic design in one of the most advanced trading environments in the world.

What You’ll Do:

• Design and develop high-performance software solutions for real-time systems and low-latency trading.
• Optimize critical components of a large-scale, fully automated trading infrastructure.
• Collaborate with traders and technologists to co-design hybrid software/hardware solutions for extreme performance.
• Research and implement advancements in networking, high-performance computing, and real-time acceleration.
• Evaluate and integrate cutting-edge academic research into practical, high-impact applications.