Senior Performance Engineer GPU clusters

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profile Job Location:

Den Bosch - Netherlands

profile Monthly Salary: Not Disclosed
Posted on: 23 hours ago
Vacancies: 1 Vacancy

Job Summary

The organization

Our client operates one of the largest GPU infrastructures in the world 90000 GPUs and 10InfiniBand fabrics across five global data centers. Their infrastructure doubles in size every year. Were looking for engineers who love getting deep into Linux systems pushing hardware and software to their limits and making the worlds fastest AI and HPC workloads run even faster

The role

Youll join a small senior team that works between the hardware and Linux OS layers solving performance problems that affect tens of thousands of GPUs. This is hands-on high-impact engineering where microsecond gains matter and every optimization is felt at global scale.

The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of the Cloud platform with a specific focus on GPU computing InfiniBand networks and the KVM/QEMU stack. Youll work closely with hardware virtualization and device emulation technologies ensuring high performance and security in multi-GPU HPC environments.

The role involves analyzing troubleshooting and improving infrastructure to support new hardware fine-tuning system performance and automating fault detection and resolution in a complex system.

What youll do

In this position you will be responsible for:

  • Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.

  • Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks and proposing corrective actions.

  • Integrating new hardware into the existing infrastructure including support for new GPU hardware through software stacks like Kubernetes QEMU and KVM.

  • Enhancing automation systems for proactive monitoring detecting and resolving issues in GPU and InfiniBand environments.

  • Configuring and managing GPU devices and InfiniBand fabrics ensuring efficient and reliable operation.

Your profile

We expect you to have:

  • 5 years of professional experience in system-level software development (focused on performance optimization low-level programming).

  • 3 years of hands-on experience with Linux systems (administration troubleshooting and performance tuning).

  • In-depth understanding of server architecture including PCIe devices NICs Linux OS/Kernel and high-performance computing (HPC) systems.

  • Strong proficiency in one or more performance-oriented programming languages (C/C Go Python).

It would be a plus (but not key....) if you have:

  • Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.

  • Proven track record of analyzing and optimizing the performance of HPC workloads (e.g. simulations data analysis AI/ML workloads).

  • Familiarity with RDMA RoCE and InfiniBand protocols for high-performance communication.

  • Background in Software-Defined Networking (SDN) and experience with HPC cluster networking.

  • Understanding of QEMU/KVM virtualization and managing virtualized environments.

  • Experience with deep learning frameworks such as PyTorch and TensorFlow and their integration with HPC systems.

  • Familiarity with collective communication libraries like MPI and NCCL for distributed computing.

This is for you if you
  • Love solving deep technical challenges care about performance down to the microsecond and want to work on infrastructure that pushes the limits of whats possible.

  • Get enthusiastic about the prospect of joining a massively scaling organization and the chances this offer to take ownership and end-to-end responsibility.

Whats offered
  • Salary: up to 200k OTE.

  • Flexible working arrangements.

  • A dynamic and collaborative work environment that values initiative and innovation.

  • Location: Amsterdam or remote.

The organizationOur client operates one of the largest GPU infrastructures in the world 90000 GPUs and 10InfiniBand fabrics across five global data centers. Their infrastructure doubles in size every year. Were looking for engineers who love getting deep into Linux systems pushing hardware and soft...
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Key Skills

  • JProfiler
  • Splunk
  • Performance Testing
  • Fiddler
  • Apache
  • HP Performance Center
  • LoadRunner
  • New Relic
  • Scalability
  • J2EE
  • Java
  • Scripting

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