Quant jobs / Qube Research & Technologies

Quantitative Developer – Ultra Low-Latency (C++)

A C++ role in the high-frequency trading team, building ultra-low-latency systems for live trading. It works closely with FPGA, hardware and infrastructure engineers.

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.

Optimise C++ components for trading and market data
Profile CPU, cache and memory behaviour
Tune kernel and network settings
Integrate software with FPGA paths

What they ask for

Required

Performance-critical C++20 or newer
Systems programming
Memory management and CPU architecture
Linux internals and kernel parameters
Low-level profiling
Hardware and networking curiosity

Preferred

FPGA integration or hardware/software co-design

Education: No degree level stated.
Experience: 5+ years of performance-critical C++
Languages and tools: C++

How to prepare

Benchmark and optimise a hot loop using CPU counters
Study kernel bypass networking and busy-polling
Learn C++20 features useful for latency work
Read an introduction to FPGA in trading

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 Qube Research & Technologies’s site before applying: requirements, location and pay can change after we check them.

View the posting on Qube Research & Technologies’s site ↗

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