HPC Cluster Engineer - AI Infrastructure

Hamilton Barnes Associates Limited; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary and full benefits package

Opportunities for professional growth

Hybrid work environment

Collaborative engineering culture

Job summary

Hamilton Barnes Associates Limited is looking for a Cloud Infrastructure Engineer in Amsterdam. The role focuses on supporting GPU-accelerated workloads and improving system performance across large-scale infrastructures. Candidates should have over 5 years of software development experience, strong Linux systems knowledge, and proficiency in programming languages like C, C++, and Python. The position offers a competitive salary, full benefits, and a hybrid work model fostering professional growth in a collaborative culture.

Qualifications

• 5+ years of professional software development experience.
• 3+ years working with Linux systems.
• Strong system-level understanding of server architecture, PCIe devices, NICs, and kernel drivers.
• Proficiency in performance-oriented programming languages (e.g., C, C++, Go, Java, Python).

Responsibilities

• Improve infrastructure supporting GPU-accelerated computing.
• Analyze root causes of performance and reliability issues across various scales and suggest effective solutions.
• Add support for new hardware across the infrastructure software stack.
• Proactively detect and resolve issues to ensure platform stability and efficiency.

Skills

Software development experience

Linux systems

Server architecture

Performance-oriented programming languages

Job description

Ready to take the next step in your career?

Join a provider of AI cloud infrastructure delivering full-stack platforms for developers, enterprises, and research institutions to build and deploy generative AI applications. The organisation enables teams to train and run machine learning models in a secure, high-performance, and cost-efficient cloud environment, supporting faster innovation and scientific progress.

The company is seeking a Cloud Infrastructure Engineer to support a hyperscaler platform for GPU-accelerated and AI workloads. The role focuses on improving virtualization and system performance across large-scale infrastructure. The role involves collaboration with specialists in high-performance computing and exposure to technologies such as RDMA, RoCE, Infiniband, and QEMU/KVM within a fast-paced, innovation-driven environment.

Responsibilities

• Improve infrastructure supporting GPU-accelerated computing.
• Analyze root causes of performance and reliability issues across various scales and suggest effective solutions.
• Add support for new hardware across the infrastructure software stack.
• Proactively detect and resolve issues to ensure platform stability and efficiency.

Skills/Must Have

• 5+ years of professional software development experience.
• 3+ years working with Linux systems.
• Strong system-level understanding of server architecture, PCIe devices, NICs, and kernel drivers.
• Proficiency in performance-oriented programming languages (e.g., C, C++, Go, Java, Python).

Desirable Skills

• Experience tuning performance for HPC workloads.
• Familiarity with RDMA, RoCE, and Infiniband networking.
• Knowledge of Software Defined Networking and HPC cluster networking.
• Understanding of the QEMU/KVM virtualization stack.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with collective communication libraries (e.g., MPI, NCCL).
• Willingness to complete a coding interview as part of the hiring process.

Benefits

• Competitive salary and full benefits package.
• Opportunities for professional growth and internal mobility.
• Hybrid work environment with flexibility.
• Collaborative and forward-thinking engineering culture.

Salary

• Competitive and based on experience.