Design and own reference architectures for large-scale NVIDIA GPU clusters.
Turn customer workloads and site constraints into complete cluster designs.
Act as technical authority across compute, fabric, storage, power, and cooling.
Andromeda is a market and infrastructure platform for buying, selling, and operating compute. It is a high-trust, high-talent-density team shaping the AI infrastructure market with comprehensive benefits and an inclusive culture.
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.
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 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.
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 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.
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.
Design and bring up networks in large-scale GPU clusters, including compute fabric, storage, front-end, and out-of-band management.
Own cabling plans, optics BOMs, and labeling standards; lead fabric bring-up, validation, and troubleshooting.
Build automation templates and tooling so each cluster starts from a known-good baseline.
Andromeda is a market and infrastructure platform to buy, sell, and operate compute for AI, enabling fragmented compute to flow through one platform. The company has a high talent density, high trust team and offers comprehensive benefits.
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.
Manage program delivery across GPU cluster builds, holding the integrated plan and tracking dependencies and risks.
Oversee hardware delivery schedules, vendor lead times, and site readiness to meet build deadlines.
Report status to leadership and customers while improving tooling and processes for efficiency.
Andromeda is a market and infrastructure platform to buy, sell, and operate compute. They are a high talent density, high trust team shaping the compute market.
Design and build data center network fabrics for large GPU clusters.
Automate network provisioning, configuration, and change management in code.
Own BGP, VLANs, VRFs, EVPN/VXLAN, and tune GPU networking.
A late-stage AI cloud company backed by NVIDIA with a valuation in the billions, running AI compute from data centers globally. They build dedicated, isolated GPU clusters for customers and maintain a fast-paced, engineering-driven culture.
Take our first colocation site from empty cage to production workloads and scale it to thousands of hosts.
Automate the server lifecycle: netboot, imaging, BMC-driven discovery, host identity, firmware rollout, and RMA.
Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance.
We're building a modern cloud platform for developers creating AI-native, multi-service applications. Trusted by over 7 million developers, we've raised $260M in total funding and value craft, velocity, and user experience.
Deploy Safari AI's computer vision systems at theme parks, stadiums, retail stores and live venues.
Work with edge computers, cameras, networks and servers from site survey to live monitored system.
Take real ownership quickly, growing into senior deployment, solutions engineering, or client success roles.
Safari AI uses computer vision AI to measure, alert, and recommend actions for companies in the physical economy, from entertainment and live venues to retail. The company is an early-stage startup of about 10 people, founded by an experienced entrepreneur, offering a culture of ownership, freedom, and hands-on learning.
Define enterprise technical strategy, hardware roadmaps, and deployment architectures for distributed AI compute infrastructure and edge fleets.
Establish system standards for reliability, disaster recovery, hardware security, and compute cost governance.
Lead architectural spikes, capacity planning, and vendor evaluations while providing technical oversight and mentorship.
Wendy's is a fast-food chain known for its square burgers and 'Quality is our Recipe' philosophy. It and its franchisees employ hundreds of thousands of people across 7,000+ restaurants worldwide, with a culture of openness, flexibility, and inclusiveness.