Quant jobs / Qube Research & Technologies

Quantitative Developer – HFT (C++)

A C++ engineering role in the high-frequency trading team, building ultra-low-latency systems that run live. You work across kernel tuning, networking and hardware.

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++ for trading, market data and infrastructure
Profile CPU, cache and memory behaviour
Join software and FPGA paths with the hardware team
Tune Linux settings for latency

What they ask for

Required

Performance-critical C++17 or newer
Systems programming
Memory management and CPU architecture
Linux internals and kernel parameters
Low-level profiling

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

How to prepare

Benchmark cache-friendly versus pointer-heavy data structures
Study Linux kernel bypass and CPU pinning
Learn perf and hardware counters
Read about FPGA use 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.