Note: The job is a remote job and is open to candidates in USA. NVIDIA is a technology company developing advanced computing and AI infrastructure. The Senior Solutions Architect will help NVIDIA Cloud Partners operate and improve large-scale AI clouds by solving Day 2 operational challenges, preparing new NVIDIA technologies for production, and improving reliability, performance, and economics. The role also converts validated solutions into reusable ecosystem capabilities and provides operational feedback to NVIDIA teams.
Responsibilities
- Solve hard Day 2 operations problems at scale. Work alongside partner engineers to find the cause, prototype an approach, validate it under representative load, and leave behind a practice their team can operate
- Make new technology Day 2 ready. Help partners prepare the operating model for new NVIDIA platforms, capacity, services, and use cases before customers depend on them, and help drive adoption in live environments without degrading service
- Improve reliability, performance, and economics together. Use measures such as incident frequency, recovery time, utilization, and cost per token to show where the cloud is losing performance or margin - and whether the fix worked
- Raise each partner's Day 2 maturity. Identify and help close the gaps that matter across people, process, tooling, telemetry, security, and incident response
- Turn one solution into ecosystem capability. Convert validated work into operating procedures, reference architectures, assessments, automation, and agentic workflows that other NCPs can integrate into their standard operating model
- Create the feedback loop only NVIDIA can. Spot patterns across partners early and bring clear field evidence to account teams, support, product, and engineering so repeated problems are fixed at the right level
Skills
- BS, MS, or PhD in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related field - or equivalent experience
- 12+ years in production infrastructure, cloud engineering, solutions architecture, site reliability engineering, HPC, or a similar technical role; alternatively, 5+ years of exceptional specialist-level work in large-scale GPU or AI infrastructure
- Experience building, operating, or improving distributed infrastructure under real production load - not only designing or deploying it
- Deep expertise in at least one part of the Day 2 stack, backed by hands-on work with large-scale GPU, HPC, or cloud infrastructure. Relevant technologies may include DCGM, BMC/Redfish, and firmware and driver lifecycle; InfiniBand or high-speed Ethernet, NCCL, and UFM; or high-performance storage such as Lustre, IBM Storage Scale, WEKA, VAST Data, or comparable platforms
- Working experience across the broader operating platform, including Kubernetes or Slurm, GPU scheduling and multi-tenancy, Prometheus, Grafana or OpenTelemetry, and automation with Terraform, Ansible, Argo CD, or similar tooling
- Strong Linux knowledge and enough Python, Bash, or similar experience to automate measurement, diagnosis, validation, or remediation
- A detailed evidence-led approach to troubleshooting across system boundaries, paired with the judgment to make difficult technical findings clear
- The ability to lead sophisticated work with partner engineers and cross-functional teams without direct authority or taking ownership away from the operator
- Strong communication, prioritization, and time-management skills across multiple partner engagements
- Real world experience operating a GPU cloud, HPC environment, or large-scale AI platform under customer load
- Built or matured a 24/7 operations function, including observability, incident and problem management, coverage, and on-call design
- Hands on experience with NVIDIA rack-scale platforms such as GB200 or GB300 NVL72 into production, or have hands-on experience with NVIDIA operations technologies such as Spectrum-X, UFM, Base Command Manager, Mission Control, and the GPU or Network Operators
- Driven improved fleet health or unit economics through benchmarking, infrastructure as code, GitOps, automated diagnosis, or agent-based remediation
Benefits
- A generous benefits package
- Eligible for equity
Company Overview
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