Quant jobs / Optiver

Software Engineer – Research Platform

A senior engineering role on the compute and software platform that runs the firm's research simulations and model training. It sits in a platform team enabling global researchers, with a focus on machine learning workloads.

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.

Improve job scheduling and orchestration for research workloads
Scale big-data processing services researchers use daily
Build managed compute layers in Python and Rust
Trial new technologies to cut experiment turnaround time

What they ask for

Required

Leading large engineering projects
Computer science fundamentals
Distributed systems
Python expertise
Communication with researchers

Preferred

C, C++ or Rust
GPUs and CUDA

Education: No degree level stated.
Experience: Senior engineer experienced in leading large-scale projects; years not stated
Languages and tools: Python
Rust
C++
CUDA

How to prepare

Build a small job scheduler or workflow orchestrator
Learn how distributed training and simulation jobs are packed onto clusters
Practise Rust or C++ for performance-critical services
Study how researchers run backtests and where they wait

What to study

Apply

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

View the posting on Optiver’s site ↗

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