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.
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.
Drive end-to-end quality engineering for enterprise storage platforms in a hybrid cloud environment.
Design scalable Python automation frameworks and apply AI/ML to solve complex quality challenges.
Collaborate across engineering teams to troubleshoot system issues and improve reliability.
Our partner specializes in enterprise storage systems and hybrid cloud infrastructure. They foster an inclusive, collaborative culture that emphasizes continuous learning, mentoring, and innovation.
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.
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.
Build production runtime infrastructure in Rust and Go for Modal's container platform.
Optimize container startup, checkpoint/restore, and snapshot pipelines for multi-GPU inference.
Diagnose complex Linux, kernel, and performance issues across the stack.
Modal builds serverless cloud infrastructure for AI/ML inference and training workloads. The company is an engineering-driven team that values deep systems work and open-source contributions.