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.