Own and manage Tier 2 incidents and tickets for large-scale GPU compute and storage platforms.
Troubleshoot Linux servers, GPU systems, storage services, and Kubernetes/Slurm node failures.
Collaborate with NOC, SRE, and on-site technicians to restore service and improve runbooks.
Highrise AI is a GPU-native infrastructure platform built for modern AI workloads, providing scalable GPU compute across dedicated clusters, managed cloud, and confidential environments. As a subsidiary of Hut 8 Corp., it combines disciplined operations, advanced automation, and on-site engineering expertise to sustain high uptime and predictable performance.
Lead deployment and configuration of x86 servers, Linux, virtualization, and core infrastructure services for AI clusters.
Optimize high-performance storage platforms like WEKA and VAST, and validate performance, resilience, and integration.
Provide Tier 3 escalation and automate provisioning, identity, and infrastructure-as-code using Ansible, Terraform, and Python.
Highrise AI is a GPU-native infrastructure platform delivering scalable compute for modern AI workloads across dedicated clusters, managed cloud, and confidential environments. As a subsidiary of Hut 8 Corp., it operates next-generation GPU clusters with disciplined operations and a growing global team of engineers and builders.
Lead technical bring-up of large-scale GPU clusters from physical installation to validated production readiness.
Execute NVIDIA diagnostics, NCCL performance tests, and acceptance criteria for commercial service.
Serve as Tier 3 escalation point for complex production incidents and drive root cause analysis.
Highrise AI is a GPU-native infrastructure platform providing scalable compute for AI workloads across dedicated clusters and managed cloud. As a subsidiary of Hut 8 Corp, it combines disciplined operations, automation, and on-site engineering to sustain high uptime and predictable performance.
Define the technical direction and architecture for a rapidly expanding GPU cluster platform.
Lead and mentor a team of senior infrastructure engineers while staying hands-on with complex systems.
Establish security strategies and operational practices to ensure reliable, efficient AI experiments.
This organization powers cutting-edge AI research through large-scale GPU cluster infrastructure. It fosters a collaborative, fast-moving environment where engineers work closely with researchers.
Lead end-to-end technical deployments for GPU neocloud and AI Factory customers.
Configure and troubleshoot bare metal GPU infrastructure including CNI, GPU Operator, and storage.
Build playbooks and transfer knowledge to customer teams for self-sufficiency.
vCluster Labs provides a platform for AI infrastructure, helping GPU cloud providers and enterprises build Kubernetes-based clusters. They are a venture-backed startup with 40+ engineers and a remote-first culture, powering over 100,000 GPUs.
Execute GPU node and cluster bring-up, validation, and automated testing across new hardware platforms.
Troubleshoot GPU and OS hardware/software issues, maintaining drivers, firmware, and system software.
Automate infrastructure with Python, Bash, and Ansible while monitoring cluster health and documenting processes.
Vultr provides high-performance cloud compute, GPU, bare metal, and storage solutions across 33 global data centers. It is a privately-held, employee-focused cloud infrastructure company valued at $3.5 billion with hundreds of thousands of customers.
Execute physical rack-and-stack deployments, structured cabling, and infrastructure lifecycle management across production data centers.
Triage, troubleshoot, and remediate hardware and network faults while repairing or replacing failing components.
Manage operational ticket queues and coordinate with engineering teams and third-party Remote Hands technicians.
Zscaler is a cloud security company whose Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss. The company operates the world's largest in-line cloud security platform across 200+ data centers, with an AI-native, customer-obsessed culture.
Own network solutioning for k0rdent AI, designing GPU cluster interconnects and multi-tenant isolation.
Publish reference architectures and run proofs of concept on real hardware with customers.
Research emerging AI networking technologies and help shape the product roadmap.
Mirantis is a Kubernetes-native AI infrastructure company helping organizations build and operate scalable, secure infrastructure for modern AI workloads. It is committed to open standards, technical excellence, and a distributed, collaborative team culture.
Own first response and resolution for issues across Kubernetes clusters, GitLab and CI runners, VMs, standalone systems, and demo environments.
Convert recurring issues into automation, alerts, and runbooks so repeat incidents decline.
Perform routine operational work, including upgrades, patching, certificate renewals, and capacity checks.
d-Matrix is focused on unleashing the potential of generative AI to power the transformation of technology. The culture is one of respect, collaboration, and humility, with an inclusive team that values direct communication and execution.