[15/10/2025] System Engineer

1 week ago

Bangalore, India Meril Full time

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.

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