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System Engineer
Merilbangalore, karnataka, in5 days ago
Job descriptionStrong 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 . 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 . 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.
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
Nice to Have
Why Join Us
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System Engineer • bangalore, karnataka, in
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