Network Engineer - Highrise AI
Hut 8 Corp. is seeking a Network Engineer to join their Highrise AI team, a subsidiary specializing in GPU-native infrastructure for AI workloads. This role focuses on supporting high-performance computing (HPC) AI and machine learning (ML) workloads, ensuring optimal network performance and reliability. The position offers flexibility with hybrid or remote work options, depending on the candidate's location.
As a Network Engineer, you will be responsible for maintaining and enhancing network infrastructure that supports AI/ML workloads. Key duties include providing support to the Network Operations Center (NOC), leading incident management, and collaborating with Site Reliability Engineering (SRE) teams to improve network observability and mitigation tools. Additionally, you will work with development teams to automate tasks and create comprehensive documentation for production network infrastructure.
Candidates should have a college diploma or university degree in computer science, engineering, or a related field, along with over five years of experience managing network infrastructure in 24/7 environments. Proficiency in network technologies such as VLANs, VXLAN, OSPF, BGP, and SDN technologies is essential. Experience with scripting or programming languages for automation and familiarity with infrastructure as code tools are strong assets.
While specific compensation details are not provided, Hut 8 offers a comprehensive benefits package, including health insurance, retirement plans, and professional development opportunities. The company fosters a collaborative and innovative work environment, encouraging continuous improvement and automation to enhance operational efficiency.
Hut 8 Corp. is a leading energy infrastructure platform integrating power, digital infrastructure, and compute at scale to support next-generation, energy-intensive applications. The company is committed to innovation and operational excellence, providing employees with opportunities to work on cutting-edge technologies in the AI and digital asset sectors.