System Engineer

Quantitative Systems Engineer | FPGA & C++ | Low-Latency Trading Systems

About the Role

We’re looking for a Quantitative Systems Engineer to design and optimize ultra-low latency trading infrastructure powering next-generation algorithmic and quantitative strategies. You’ll work closely with quantitative researchers, traders, and FPGA engineers to build systems that push the limits of performance in financial markets.

What You’ll Do

• Design and implement high-performance, low-latency systems in C++ (17/20) for real-time market data processing and trade execution.
• Collaborate with FPGA teams to integrate hardware acceleration into the trading stack.
• Optimize system-level performance — including network stack tuning, memory management, and latency profiling .
• Build and maintain scalable, fault-tolerant trading infrastructure with microsecond-level SLAs.
• Partner with quants to prototype and deploy models , ensuring efficient data flow and minimal execution lag.
• Conduct detailed latency and throughput analysis to continuously improve trading system efficiency.

What We’re Looking For

• Strong programming skills in modern C++ (17/20) and proficiency in multi-threaded, real-time systems.
• Experience in FPGA-based acceleration , hardware/software co-design, or low-level network optimization (TCP/UDP, kernel bypass, DPDK).
• Solid understanding of market microstructure , order book dynamics, and exchange protocols (e.g., FIX, OUCH, ITCH).
• Hands-on experience with Linux systems programming , performance profiling, and debugging tools.
• Exposure to quantitative finance , algorithmic trading, or high-frequency trading environments.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related quantitative discipline .

Nice to Have

• Experience with Python for research and automation scripting.
• Knowledge of distributed systems, networking, and FPGA design tools (e.g., Verilog/VHDL, Vivado, Quartus) .
• Familiarity with cloud-based simulation frameworks or real-time data analytics .

Why Join Us

• Work on cutting-edge trading infrastructure impacting live markets.
• Collaborate with a world-class team of engineers and quantitative researchers.
• Competitive compensation with performance-based incentives .
• Opportunity to own systems end-to-end , from design to deployment.