HPC Performance and Validation Engineer

Job Description

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This is a hybrid role based in our new Dallas infrastructure hub where we work on the latest technologies in a cutting-edge environment.

The role

As an HPC Validation and Performance Engineer at G-Research, you will take ownership of the validation and optimization of our HPC CPU and GPU calc farms.

This critical role will involve developing a validation and performance baselining framework, which ensures system readiness for AI / ML and HPC workloads across multiple architectures. Your role will be essential in providing continuous performance benchmarking, real-time observability, and long-term strategic readiness.

You will drive the implementation of advanced tooling and frameworks, maintaining an infrastructure that is crucial to our cutting-edge research efforts. You will be accountable for providing data driven performance metrics to support architectural design choices as we continue to globally scale our datacentre footprint.

We are looking for someone with deep technical expertise in compute, storage or networking optimizations and performance engineering who can develop solutions that scale with our growing infrastructure.

This role demands a forward-thinking engineer who can anticipate industry trends and adopt emerging architectures and strategies to keep G-Research at the forefront of innovation.

Key responsibilities of this role include :

• Architecting and implementing a validation framework to certify the readiness and utilization of GPU nodes across a large, distributed HPC environment
• Defining methodologies to continually assess performance and optimising infrastructure across AI / ML workloads
• Developing and executing comprehensive performance testing using industry and customer specific benchmarks, ensuring optimal performance across HPC compute, storage and networking
• Contribute to research reports that will describe the discoveries of the benchmarking, evaluating the complete HW performance and efficiency
• Leading efforts to debug, identify and then resolve bottlenecks in system performance
• Building robust, scalable tools for automated validation and testing, utilising Python, Go, Kubernetes and CI / CD pipelines to streamline continuous validation and benchmarking processes
• Implementing monitoring solutions using Prometheus, Grafana and other modern monitoring technologies to track performance metrics and real-time health of the cluster
• Defining and implementing best practice for continuous performance validation, ensuring that the infrastructure remains reliable and efficient as new technologies emerge
• Staying informed on industry trends and advancements to ensure long-term strategic alignment
• Working cross-functionally with engineering, infrastructure and research teams to align validation efforts with the broader business objectives, ensuring that the platform meets evolving research demands

Who are we looking for?