Senior HPC Engineer

Senior GPU Cluster Engineer

Location: remote (Europe / North America / Israel)

Industry: AI | HPC | Cloud Computing

Why Work With Us

We’re building the next generation of cloud infrastructure purpose-built for the global AI economy. Our platform enables organizations to tackle complex, real-world challenges-without the cost of legacy infrastructure or the need to maintain large in-house AI/ML teams.

You’ll join a team of experienced engineers and innovators working at the forefront of high-performance computing, distributed systems, and AI cloud infrastructure.

Our Global Presence

Headquartered in Amsterdam and listed on Nasdaq, we operate R&D hubs across Europe, North America, and Israel. Our global team includes over 800 employees-more than 400 of whom are highly skilled engineers working across hardware design, systems software, networking, and AI/ML infrastructure.

The Role

We’re looking for a Senior HPC Cluster Engineer to join our GPU & InfiniBand Engineering Team. You’ll work on the core components of our hyperscale platform, with a focus on GPU computing, InfiniBand networking, and hardware virtualization technologies like KVM/QEMU.

This role is highly technical and hands-on. You’ll be responsible for integrating new hardware, tuning performance, resolving complex system issues, and building automated monitoring and fault-resolution systems for large-scale GPU clusters.

Responsibilities

• Optimize GPU cluster and InfiniBand network performance for HPC and AI workloads
• Analyze and resolve low-level hardware/software issues in GPU and InfiniBand environments
• Integrate new GPU hardware and support it through the Kubernetes, QEMU, and KVM stacks
• Build and enhance automation tools for system monitoring, diagnostics, and fault recovery
• Configure and maintain GPU devices and InfiniBand fabrics for reliability and scale

Requirements

• 5+ years in system-level software engineering (performance, infrastructure, low-level development)
• 3+ years hands-on with Linux systems (tuning, debugging, admin)
• Solid understanding of server hardware architecture, including PCIe, NICs, and Linux internals
• Proficiency in performance-oriented languages such as C/C++, Go, or Python

Preferred Qualifications

• Experience with GPU cluster validation and testing over InfiniBand
• Proven performance tuning of HPC or AI/ML workloads
• Knowledge of RDMA, RoCE, and InfiniBand protocols
• Familiarity with Software-Defined Networking (SDN) and high-performance networking
• Understanding of QEMU/KVM, virtualization technologies, and driver integration
• Experience with PyTorch, TensorFlow, or other deep learning frameworks
• Familiarity with MPI, NCCL, or other collective communication libraries

What We Offer

• Competitive compensation and full benefits package
• Clear technical career path and professional development support
• A collaborative, high-impact engineering environment focused on innovation and growth