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Senior HPC Engineer, GPU Compute

Lumen Dynamics · Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Remote - Europe · Posted 2d ago

remoteseniorEstimated 42k-215k GBP🇬🇧 United Kingdom
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About the role

About Lumen Dynamics: Lumen Dynamics is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll 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. 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. 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 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. We conduct coding interviews as part of the process. #LI-LH2 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Lumen Dynamics: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Lumen Dynamics is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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Why this role stands out

  • Fresh posting — apply before the crowd
  • competitive compensation
  • career growth

Responsibilities

  • Tune performance of GPU clusters and InfiniBand networks
  • Analyze and troubleshoot GPUs and InfiniBand networks
  • Integrate new hardware into existing infrastructure
  • Enhance automation for monitoring and issue resolution

Must-have skills

  • system-level software development
  • performance optimization
  • low-level programming
  • linux
  • server architecture
  • pcie
  • linux kernel
  • hpc
  • c++
  • go
  • python

Nice-to-have skills

  • gpu testing
  • infiniband networking
  • hpc workload optimization
  • rdma
  • roce
  • infiniband protocols
  • sdn
  • qemu/kvm
  • pytorch
  • tensorflow
  • mpi
  • nccl

Benefits

  • competitive compensation
  • career growth
  • learning opportunities
  • flexibility
  • work-life balance

FAQ

Is the Senior HPC Engineer, GPU Compute role at Lumen Dynamics remote?+

This Senior HPC Engineer, GPU Compute position is listed as remote (Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Remote - Europe).

What is the salary for the Senior HPC Engineer, GPU Compute role at Lumen Dynamics?+

The listing states Estimated 42k-215k GBP.

What seniority level is this Senior HPC Engineer, GPU Compute role?+

This is a senior level position.

What skills does the Senior HPC Engineer, GPU Compute role require?+

Key requirements include system-level software development, performance optimization, low-level programming, linux, server architecture, pcie, linux kernel, hpc.

How do I apply for the Senior HPC Engineer, GPU Compute role at Lumen Dynamics?+

Use the "Apply on greenhouse:nebius" button to open the original posting on greenhouse:nebius, where you can submit your application directly to Lumen Dynamics.