Hut 8 brings exceptional people together to solve the world’s most consequential problems at the intersection of energy and technology. Today, that means building infrastructure for AI at a pace and scale without precedent. Tomorrow, it could mean powering a new era of innovation through robotics, advanced manufacturing, or an industry that does not yet exist. Whatever the technology demands, our ambition holds: to build the defining physical infrastructure company of our generation.
We look for thinkers and builders with the rigor, humility, and ownership to solve problems at this scale. They start from zero and choose truth over tradition. They back the best idea, whatever its source. They bet on themselves and embrace the hard truths that force them to grow. Our commitment is to keep the path from idea to execution short, trust them with critical decisions and the work that follows, and surround them with colleagues whose curiosity extends beyond their expertise.
About Highrise AI
Highrise AI is a GPU-native infrastructure platform built for modern AI workloads. Designed for developers and enterprises operating in performance-critical and security-sensitive environments, Highrise delivers scalable GPU compute across dedicated clusters, managed cloud, and confidential environments.
Highrise combines bare-metal performance with full-stack orchestration, API-driven access, and hardware-enforced isolation to support training, fine-tuning, and production-scale deployment of AI models. From reserved GPU capacity to enterprise-grade confidential compute, Highrise provides flexible infrastructure models tailored to the needs of builders operating at scale.
Beyond infrastructure, Highrise integrates disciplined operations, advanced automation, and on-site engineering expertise to sustain high uptime and predictable performance across deployments. These capabilities extend beyond Highrise-owned fleets: through managed services, Highrise also operates third-party GPU hardware on behalf of customers and partners, applying the same operational standards to infrastructure it does not own.
Highrise is a subsidiary of Hut 8 Corp., an energy infrastructure platform. Hut 8 integrates power, digital infrastructure, and compute at scale. Highrise serves as the compute and operations layer—designing, deploying, and operating next-generation GPU clusters from commissioning through production.
ROLE OVERVIEW
We are looking for Network Operations Engineers to provide 24x7 oversight and response to service impacts to our AI/ML infrastructure. The successful candidate combines proven experience in high-stakes 24x7 environments, demonstrated technical aptitude in learning new systems and procedures quickly, and excellent customer-facing skills.
KEY RESPONSIBILITIES
Proactive Monitoring, Customer Case Triage, and Incident Management Support
- Provide low-latency, context-aware direct customer support to ensure Highrise customers get the most from our infrastructure.
- Manage impacts to compute, storage, and network resource pools to meet SLA commitments.
- Help drive customer-driven workflow by aiding in the triage of inbound cases.
- Provide timely updates on incidents, and escalation when necessary.
Documentation, Enablement, and Collaboration
- Create and maintain clear documentation, standards, and runbooks for your focus area.
- Aid SRE in fleet management including firmware and configuration upgrades and orchestration of planned maintenance.
- Bring the voice of the customer to product and platform teams to ensure we deliver the services and features they need.
ABOUT YOU
Education and Experience
- College diploma or university degree in computer science, engineering, or related field, and/or equivalent work experience.
- 2 years or more experience with directly supporting customers using network and/or compute infrastructure at scale in 24x7 environments.
Core Competencies
- Strong analytical and problem-solving abilities, with high attention to detail.
- Effective at prioritizing and executing tasks in a high-pressure environment.
- Strong customer service orientation and a demonstrated willingness to help internal and external stakeholders.
- Highly self-motivated and directed, with a bias toward ownership and outcomes.
- Excellent written and verbal communication skills and strong interpersonal skills.
- Collaborative team player who operates effectively with minimal supervision.
- Continuous improvement mindset; proactively automates and eliminates operational toil.
ABOUT THE WORK ENVIRONMENT
This is a full-time, engineering role 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. This role is hybrid or remote depending on location. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
WHAT MAKES HIGHRISE A GREAT PLACE TO WORK
At Highrise, you will directly influence the performance, reliability, and production readiness of large-scale AI clusters, work alongside experienced infrastructure engineers, and help define the technical standards for a growing global AI infrastructure platform.
At Highrise, you will have the opportunity to:
- Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting
- Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government
- Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team
- Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure
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