HPC Cluster Engineer - AI Infrastructure

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.

Don't miss out on this exciting opportunity and apply today!

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.