Quant jobs / Radix Trading

Quantitative Technologist – FPGA Engineer (PhD)

An FPGA engineering role in a small team improving latency and performance of an electronic trading firm's systems. It combines hardware design with production support.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Maintain and extend FPGA designs used in trading systems
Debug and fix FPGA issues in production
Write Python unit tests and run simulations in ModelSim
Design scalable new systems that remove current latency limits

What they ask for

Required

PhD in electrical engineering, computer architecture or similar (in progress or complete)
VHDL or Verilog
Python for unit testing
Xilinx or Altera FPGAs
ModelSim
Networking protocols such as IP, TCP and UDP

Preferred

Large Stratix V or Virtex UltraScale+ projects

Education: PhD in electrical engineering, computer architecture or a closely related discipline, in progress or completed.
Experience: Hardware design experience; no minimum years stated
Languages and tools: VHDL
Verilog
Python

How to prepare

Build a small FPGA project in Verilog or VHDL, such as a UDP packet parser, and simulate it
Learn the TCP/IP and UDP protocol stack in detail
Write Python test benches for hardware designs
Study how market data feeds are structured and decoded

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Radix Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on Radix Trading’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Radix Trading and doesn’t handle applications.