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.