Technology Research Engineer

2 weeks ago

London, United Kingdom XTX Markets Limited Full time

We provide consistent liquidity, helping market participants throughout the world obtain the best prices in the various assets classes we cover, regardless of changing market conditions.
At XTX Markets technology is our business and we are a diverse organisation which attracts outstanding talent from across all industry backgrounds. XTX has one of the largest HPC clusters in the world, which the research technology team have built by writing software. We are looking for someone to join in a senior capacity to work with our experienced team to help coordinate designing our datacentre, choosing the right hardware, tuning operating systems, storage, and networks, managing orchestration and observability to writing the software which manages fair and efficient distribution of work on our compute cluster. The infrastructure that we build and maintain allows XTX to trade globally with daily volumes of over $300bn per day across a wide range of asset classes.
Contribute to all components of our HPC infrastructure and code, and work on growing one of the biggest private compute clusters anywhere.
Write software that runs on a compute cluster that grows continually but currently has ~1PB memory, ~110K CPU cores,
10,000 GPU’s, 200+PB of mixed SSD and HDD storage, connected by a high-performance network.
Enter an environment where improvements can usually be made very quickly, and where the results of those changes are both immediately visible and can make a large impact to the quantitative research function at the heart of our business.
Examples of current projects being undertaken by the group are:
Changing our host monitoring infrastructure
Changing our observability system to a new lightweight high performance metrics visualisation system
Previous direct experience in a similar setting with large-scale-compute, although previous experience in financial services is not necessary. Strong coding skills, preferably with recent exposure to python and at least one statically typed language. Clear working knowledge and hands-on experience with computer networks; design, configuration, monitoring, automation, approaches to loss + congestion control, understanding of underlying hardware, IP/Ethernet and InfiniBand, host tuning. Be prepared to back this up by knowing how these technologies work at a fundamental level.
Using your knowledge from many layers of the technology stack (network/hardware/OS/software) to produce an optimal result.
Understanding of one or more machine learning frameworks and compute offload devices, like GPUs, is an advantage.

Extensive medical benefits including an on-site doctor and therapist at no charge
~ Beautiful Kings Cross office:
~25 days paid holiday per year + statutory holiday and paid sick days
~ Generous Pension contributions

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