Principal AI Infrastructure Engineer - Highrise AI
The Principal AI Infrastructure Engineer at Highrise AI, a subsidiary of Hut 8 Corp., is responsible for designing, deploying, integrating, and operating large-scale GPU compute clusters tailored for modern AI workloads. Highrise AI delivers scalable GPU compute across dedicated clusters, managed cloud, and confidential environments, supporting training, fine-tuning, and production-scale deployment of AI models. The role involves collaborating with senior infrastructure engineers to ensure the readiness and performance of AI clusters from installation through production.
Key responsibilities include leading the technical bring-up of AI clusters, establishing system baselines, deploying automated provisioning, and integrating Kubernetes and Slurm environments. The engineer will also execute performance engineering tasks, such as running GPU benchmarks and troubleshooting performance issues, and provide Tier 3 technical escalation support for complex production incidents. Additionally, the role involves collaborating with cross-functional teams to resolve issues and meet delivery milestones.
Candidates should have a Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience. A minimum of 8 years of hands-on experience in Linux systems engineering, HPC, cloud, or large-scale infrastructure is required. Expertise in Linux systems administration, virtualization technologies, automated provisioning, and high-performance storage platforms is essential. Experience with Kubernetes, Slurm, and GPU infrastructure is highly desirable.
This is a full-time, remote position supporting large-scale AI compute infrastructure across multiple sites. Travel to data centers for cluster commissioning, acceptance, and complex troubleshooting will be required. Flexibility to assist with critical incidents or maintenance activities outside regular business hours is expected.
At Highrise AI, employees have the opportunity to work with a diverse team of professionals from various backgrounds, including software development, energy, engineering, and management consulting. The company fosters a meritocratic environment where ideas are debated, and learning is encouraged. Employees can build a network of professional connections at the intersection of technology, energy, and infrastructure.