Low-Latency FPGA Engineer for High-Performance Trading

BuiltIn Integration Sandbox; Chicago (IL); On-site; USD 175,000 - 225,000; Full time

Benefits offered by this job

Benefits on company website

Job summary

Belvedere Trading, headquartered in downtown Chicago, seeks an FPGA Developer to drive high‑performance market‑making systems. You will work on chip‑scale designs, exchange encoding/decoding, and hybrid hardware/software platforms, leveraging Verilog/VHDL and C++ in a collaborative, entrepreneurial environment.

The role emphasizes low‑latency optimizations, exposure to trading algorithms, and the use of industry tools to push performance boundaries while delivering reliable, scalable software

Qualifications

• Experience with FPGA development and verification workflows.
• Proficiency in Verilog/VHDL and timing closure.
• Ability to optimize low-latency trading software.
• Comfort with C++, Python scripting for tooling.

Responsibilities

• Use cutting-edge technology on high performance/low latency systems.
• Collaborate to create automated trading algorithms.
• Develop high‑performance computing systems to push speed boundaries.
• Build next-generation algorithmic trading systems.
• Solve low‑latency trading problems and optimize critical code.
• Develop new hardware platforms.
• Identify opportunities for performance improvements and experiment with optimizations.
• Share knowledge and contribute to team productivity and tooling.
• Create new features and improve existing experiences.
• Mentor teammates and disseminate best practices.

Skills

Verilog/VHDL

C++

Python

Bash

TCL

Tools

Synopsys

Riviera

ModelSim

QuestaSim

Job description

Belvedere Trading, headquartered in downtown Chicago, seeks an FPGA Developer to drive high‑performance market‑making systems. You will work on chip‑scale designs, exchange encoding/decoding, and hybrid hardware/software platforms, leveraging Verilog/VHDL and C++ in a collaborative, entrepreneurial environment.

The role emphasizes low‑latency optimizations, exposure to trading algorithms, and the use of industry tools to push performance boundaries while delivering reliable, scalable software