System Engineer (Compute Node) at Jobgether in London, England, GB

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a System Engineer (Compute Node) based in United Kingdom.

This is a highly technical, systems-focused engineering role at the core of next-generation AI cloud infrastructure. You will contribute to the design and operation of compute systems that power large-scale virtual machine workloads on GPU-based clusters distributed across multiple data centers. The environment spans virtualization, networking, storage integration, and cluster-scale scheduling, supporting thousands of servers and tens of thousands of GPUs. You will work in a deeply engineering-driven team solving complex infrastructure challenges around performance, scalability, and hardware efficiency. The role combines low-level systems expertise with modern cloud-native technologies such as Kubernetes and virtualization stacks. This is an opportunity to build foundational infrastructure that enables large-scale AI workloads across a global platform.

Accountabilities:

• Contribute to the design, development, and operation of compute node services managing virtual machines on large-scale GPU-based infrastructure.
  • Work on virtualization layers including VM orchestration, scheduling, and integration with storage and high-performance networking systems.
  • Develop and optimize systems using Kubernetes, including extending or building components for compute and workload orchestration.
  • Support and enhance virtualization technologies such as KubeVirt and QEMU/KVM within distributed environments.
  • Work closely with Linux internals, focusing on performance tuning, resource management, and system-level debugging.
  • Collaborate on infrastructure that integrates GPU, DPU, and high-performance hardware acceleration technologies.
  • Participate in building and maintaining large-scale distributed systems spanning multiple regions and data centers.

Requirements:

    - Strong experience with Kubernetes, including not only deployment but also development or extension of platform capabilities.
    - Solid understanding of virtualization technologies such as KubeVirt and QEMU/KVM is highly desirable.
    - Deep knowledge of Linux systems internals, including process management, system calls, file systems, and performance optimization.
    - Familiarity with server hardware architecture, including PCIe devices, NICs, kernel drivers, and system-level components.
    - Experience or strong interest in hardware acceleration technologies such as GPUs, DPUs, or ARM architectures.
    - Proficiency in at least one of the following languages: Go or C++, with willingness to work across both.
    - Strong understanding of concurrency, debugging, profiling, and performance analysis in distributed systems.
    - Ability to work in complex, large-scale infrastructure environments and solve low-level systems challenges.
    - Curiosity and willingness to learn advanced technologies such as NVIDIA DOCA is a plus.

Benefits:

        - Competitive compensation package aligned with senior systems engineering roles.
        - Opportunities for career growth and continuous technical learning.
        - High level of autonomy, ownership, and technical responsibility.
        - Collaborative engineering culture focused on innovation and impact.
        - Opportunity to work on cutting-edge AI infrastructure and large-scale GPU systems.
        - International team environment with highly skilled engineers.
        - Exposure to complex distributed systems at global scale.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1