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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Domain Architect - AI Compute - **Company:** The San Francisco AI Factory Inc. - **Location:** Denver, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $200,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, C++ (Programming Language), Ubuntu (Operating System), Cloud Computing, Cloud Engineering, Cyber Security, Nvidia CUDA, Data Centers, Software Debugging, Linux, Device Drivers, File Systems, Network Interface Controllers, Firmware, Image Management, InfiniBand, Machine Learning, OpenShift, PCI Express, Red Hat Enterprise Linux, Ansible, Software Engineering, Software Technical Review, AI Infrastructure, Multithreading, Google Cloud, Large Language Models, cuDNN, Non-Uniform Memory Access, Containerization, Kubernetes, Information Technology, Windows Kernel, Bare Metal, Enterprise Integration, Slurm, NVIDIA Omniverse, Model Inference, Oracle Cloud Infrastructure, Cisco, Nvme - **Published:** November 3, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/domain-architect-ai-compute-nvidia-ecosystem/11066780 ## About the Role * 10+ years in HPC, AI, or data center infrastructure engineering, including 7+ years in a customer-facing architecture role. * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * Deep working knowledge of NVIDIA GPU platforms across the Hopper and Blackwell architectures, including Grace Hopper and Grace Blackwell superchip systems, and the associated software stack (CUDA, cuDNN, NCCL). * Strong Linux systems engineering skills, including distributions tuned for HPC and AI workloads (Ubuntu, RHEL), kernel tuning, driver management, and system hardening. * Automation and infrastructure-as-code experience, with proficiency in Ansible and Python, and familiarity with declarative tooling such as Terraform. * Demonstrated ability to translate technical architecture into commercial outcomes for senior stakeholders. Preferred Qualifications * Industry background: experience within a systems integrator (SI) or managed service provider (MSP) environment. * Cluster management: hands-on experience with NVIDIA Base Command Manager and/or NVIDIA Mission Control. * Network integration: understanding of high-speed interconnects (InfiniBand NDR/HDR, RoCEv2) and how they interact with host PCIe and NVLink topologies. * Container platforms: Kubernetes and Red Hat OpenShift installation and administration. * Cloud architecture: AI-oriented compute design on AWS, Azure, Google Cloud, or OCI. * AI and orchestration tooling: exposure to Rafay, NVIDIA Run:ai, NVIDIA Omniverse, Red Hat OpenShift AI, and Kubeflow. ## Description Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms., AI Factory Overview WWT's AI Factory practice designs, builds, and delivers purpose-built AI infrastructure environments that enable organizations to deploy, scale, and operationalize advanced AI workloads. By integrating compute, networking, storage, software, and operational expertise into a validated reference architecture, the AI Factory team helps customers accelerate AI adoption while reducing deployment risk and complexity. As Domain Architect - AI Compute, you will serve as the technical authority for the design, deployment, and lifecycle management of high-performance AI compute infrastructure within WWT's AI Factory practice. Working closely with networking, storage, and software specialists, you will define and deliver scalable GPU-based platforms that form the foundation of modern AI factories, ensuring customers receive reliable, automated, and production-ready environments. You will bridge architecture and execution, providing deep expertise across NVIDIA and partner compute platforms while guiding customers through both implementation and operational readiness. As a trusted advisor and hands-on technical leader, you will help shape AI Factory solutions, support strategic client engagements, and establish best practices that drive successful AI infrastructure outcomes. Your time will be split roughly 60/40 between delivering complex AI infrastructure (60%) and providing pre-sales subject matter expertise (40%). You will lead the physical provisioning of NVIDIA DGX SuperPOD, NVIDIA DGX BasePOD, and Cisco AI POD environments, ensuring clients inherit platforms that are genuinely ready for day-2 operations, while helping the sales team scope and cost future deployments. Key Responsibilities Delivery and implementation Bare-metal build and provisioning * Lead the physical provisioning of GPU platforms and clusters, including NVIDIA GB200/GB300 NVL72 rack-scale systems, NVIDIA DGX SuperPOD and DGX BasePOD reference architectures, HGX- and MGX-based systems, and Cisco AI PODs. * Use NVIDIA Base Command Manager (BCM) for cluster provisioning, diskless boot, image management, and firmware lifecycle management. * Harden and baseline the host operating system across the fleet. * Establish cluster monitoring and lifecycle management with NVIDIA Mission Control. * Build and execute zero-touch provisioning (ZTP) workflows that turn bare-metal hardware into production-ready nodes. Scheduler and workload configuration * Define and enforce fair-share policies, fractional GPU allocation using Multi-Instance GPU (MIG), and preemption logic for multi-tenant environments. * Ensure orchestration layers respect hardware topology, including NUMA affinity and PCIe topology, to protect performance. * Implement and tune advanced schedulers: Slurm on bare metal, and NVIDIA Run:ai, Kueue, or Volcano on Kubernetes. Orchestration and day-2 operations * Deploy and configure multi-cluster management and observability platforms such as Rafay. * Implement high-fidelity telemetry using NVIDIA Data Center GPU Manager (DCGM) to monitor GPU health, thermal throttling, and Xid error rates. * Lead the transition to day-2 operations, ensuring the environment is fully integrated with the client's identity providers and storage backends before handoff. Performance engineering * Conduct acceptance and validation testing using NCCL tests and HPL to verify cluster performance against expected baselines. * Perform kernel and OS-level tuning (hugepages, sysctl, and driver parameters) to optimize for high-bandwidth InfiniBand and RoCEv2 fabrics. Pre-sales SME and consulting Technical scoping and estimation * Support the sales team by validating customer technical requirements and producing accurate level-of-effort (LOE) estimates for statements of work. * Define the standard operating environment (SOE) used in proposals to ensure repeatability across engagements. Bill of materials validation and architecture * Own the technical accuracy of the compute bill of materials. * Verify that all components, including memory, NVMe storage, NICs, and optical transceivers, are aligned with NVIDIA-Certified Systems requirements and the qualified component lists in the relevant DGX, HGX, MGX, and NVL72 reference architectures. * Match GPU platform selection to the client's actual workload profile and growth expectations. Client workshops * Lead technical discovery workshops to determine workload requirements, distinguishing between the very different infrastructure profiles of traditional machine learning, LLM training, LLM inference, and Omniverse digital twin and visualization workloads., Develop and maintain CrowdStrike's macOS endpoint security sensor using C/C++ and Swift. Design, implement, and own features across operating-system subsystems including filesystems, memory, processes, and networking. Build reliable, high-performance, multithreaded software, troubleshoot customer-reported issues, collaborate with distributed teams, and use AI technologies to improve workflows and decision-making. Top Skills: CC++CybersecurityEndpoint ProtectionLinuxmacOSMultithreadingNetworking ProtocolsSwiftWindows CrowdStrike Senior Engineer 4 Minutes Ago Remote or Hybrid 160K-260K Annually Senior level 160K-260K Annually Senior level Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity Design, develop, and own kernel-mode and low-level user-mode components for CrowdStrike's Windows Falcon sensor. Build endpoint detection and response capabilities, collaborate on cross-platform sensor architecture, lead design and code reviews, resolve crashes and performance issues, improve kernel testing infrastructure, and mentor engineers. The role requires deep C/C++, Windows internals, driver development, debugging, and experience delivering reliable systems software. Top Skills: Ai TechnologiesCC++Event Tracing For Windows (Etw)Kernel CallbacksKernel/User-Mode CommunicationLinuxmacOSMinifilter DriversWindbgWindows Driver DevelopmentWindows Filtering Platform (Wfp)Windows Kernel Takeda MCR, OBU, ST, Fuyang An Hour Ago Remote or Hybrid Mid level Mid level Healthtech * Software * Analytics * Biotech * Pharmaceutical * Manufacturing Promotes pharmaceutical products through academic visits and medical information sharing, builds relationships with target healthcare experts, identifies customer needs, influences prescribing perspectives, increases product market share, and supports company performance targets. The role also requires strong key-account management, teamwork, execution, learning ability, and professional representation of the company. What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. 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