Functiebeschrijving
Ready to drive reliability and performance across complex cloud and infrastructure environments?
Join a cloud technology and AI infrastructure provider recognized for delivering high-performance computing and scalable platform solutions. With a focus on innovation, reliability, and technical excellence, the organization continues to empower businesses through cutting-edge cloud technologies and automation.
Be part of an esteemed team, apply now!
Responsibilities
Profile and analyse GPU performance at both system and kernel level in close collaboration with hardware and software teams
Benchmark and compare GPU platforms across different architectures and software stacks such as CUDA and ROCm
Carry out acceptance testing of new GPU clusters to ensure performance, stability, and compatibility for AI workloads
Design and run experiments across different GPU system configurations to evaluate interconnects, scaling behaviour, and system level optimisations
Identify performance bottlenecks across hardware, software, and networking layers and provide clear data driven recommendations
Skills Must have
Strong Unix Linux experience with automation using Python and Bash
Solid understanding of the GPU software stack including CUDA, NCCL, drivers, and supporting libraries
Proven experience troubleshooting complex system level issues across hardware, software, and networking
Experience working in containerised environments such as Docker and Kubernetes
Benefits
Bonus scheme
Pension
Clear opportunities for technical growth and progressionFlexible working arrangements
Collaborative engineering led environment with a strong focus on innovation and ownership
Salary
Up to €9,000 gross per month
#J-18808-Ljbffr
Ready to Apply?
Don't miss this opportunity! Apply now and join our team.
Functiedetails
Publicatiedatum:
February 28, 2026
Functietype:
Technologie
Locatie:
Netherlands
Company:
Hamilton Barnes Associates Limited
Ready to Apply?
Don't miss this opportunity! Apply now and join our team.