This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Head of Compute Engineering in Ireland.

The Head of Compute Engineering will lead the development and operation of high-performance GPU compute infrastructure, serving AI researchers, ML teams, and fast-growing startups. This role combines deep technical expertise with engineering leadership, driving architecture decisions, infrastructure reliability, and product innovation. You will manage a team of engineers, shape the roadmap for GPU provisioning and orchestration, and work closely with customers to optimize workload performance. This hands-on leadership role offers a rare opportunity to influence both technical strategy and day-to-day operations in a cutting-edge AI infrastructure environment. You will implement scalable systems, observability frameworks, and operational processes while fostering a culture of excellence and ownership.

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Accountabilities

Lead a team of engineers across GPU compute, platform infrastructure, backend services, and internal tooling, ensuring high standards of quality and reliability.
Contribute directly to architecture and code, particularly on GPU provisioning, orchestration, and customer-facing control planes.
Own engineering delivery, including planning, prioritization, execution, and alignment with product and company goals.
Implement observability, alerting, and on-call processes to maintain SLAs and operational health.
Collaborate with early customers to gather requirements and translate them into scalable product solutions.
Hire, onboard, and mentor engineers, fostering a culture of technical excellence and ownership.
Continuously improve compute infrastructure and operational workflows to support high-performance AI workloads.

Requirements

7+ years of engineering experience, including 1–2 years in a tech lead or engineering management role within GPU compute environments.
Practical experience with CUDA, NVIDIA drivers, MIG/vGPU, or similar GPU compute technologies.
Strong knowledge of container orchestration (Kubernetes, Docker) and infrastructure-as-code tools (Terraform, Ansible).
Expertise in GPU cluster management, bare-metal provisioning, and inference software.
Startup mindset: thrives in fast-moving, ambiguous environments and takes full ownership of outcomes.
Excellent leadership, communication, and mentoring skills to guide engineering teams.
Bonus: experience with hyperscalers, Neocloud infrastructure, job schedulers (Slurm, LSF, Ray), large-scale storage (VAST, Weka, DAOS, Ceph, AWS S3, Lustre, GPFS), networking (InfiniBand/RoCE), and GPU inference/fine-tuning workloads (vLLM, LanceDB).

Benefits

Remote-first work environment within CET-aligned time zones.
Opportunity to lead GPU compute engineering in a high-growth AI infrastructure space.
Hands-on role with deep technical involvement, not just managerial responsibilities.
Attractive equity for an early-stage, high-growth company.
Direct collaboration with founders, influencing product and technical strategy.
Flexible work arrangements promoting work-life balance.

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Why Apply Through Jobgether?

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.

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Head of Compute Engineering

Benefits

Job Description