System Engineer

3 weeks ago

Bangalore Urban Karnataka India, IN 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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