Computer Performance Engineer

London - UK

Monthly Salary: Not Disclosed

Posted on: 28 days ago

Vacancies: 1 Vacancy

Job Summary

We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity.

From our London HQ we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together were building a world-class platform to amplify our teams most powerful ideas.

As part of our engineering team youll shape the platforms and tools that drive high-impact research - designing systems that scale accelerate discovery and support innovation across the firm.

Take the next step in your career.

The role

We are seeking an exceptional Computer Performance Engineer to optimise large-scale workloads across our Linux HPC and Kubernetes compute environments.

This is a hands-on impactful role. You will design and implement techniques that maximise utilisation of cutting-edge compute infrastructure ensuring our researchers and engineers achieve the best possible performance on current and future systems.

You will work directly with internal research teams and infrastructure engineers to profile and analyse workloads eliminate bottlenecks and develop reference solutions. Your work will influence long-term platform evolution and help shape the architecture software stack and tooling that underpins large-scale machine learning computation.

Key responsibilities of the role include:

Collaborating with researchers senior stakeholders and engineers to understand their compute challenges and design optimised solutions
Profiling benchmarking and tuning large-scale workloads for performance across CPU GPU and memory-intensive jobs
Developing reference implementations libraries and tools to improve job efficiency and reliability
Collaborating closely with systems architecture and platform teams to evolve our compute stack
Influencing long-term platform and infrastructure decisions

Who are we looking for

The ideal candidate will have the following skills and experience:

Bachelors Masters or PhD degree in computer science or equivalent experience
Proven track record of profiling benchmarking and optimising distributed or cloud-scale workloads
Strong knowledge of one or more programming languages with solid grounding in algorithms and performance engineering
Deep understanding of Linux internals such as scheduling memory management NUMA networking and filesystems
Experience with HPC schedulers and Kubernetes workload orchestration
Familiarity with profiling and monitoring tools such as perf eBPF VTune Flamegraphs Prometheus and Grafana
Hands-on experience with heterogeneous compute including GPUs multi-core CPU workloads and high-memory systems
Strong communication skills with the ability to collaborate across research infrastructure and engineering teams

Why should you apply

Highly competitive compensation plus annual discretionary bonus
Lunch provided (viaJust Eat for Business) and dedicated barista bar
35 days annual leave
9% company pension contributions
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
Cycle-to-work scheme
Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section

We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity.From our London HQ we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. T...