Senior Solutions Architect, Cloud Partner Operations

🕒 August 21

🏄 California – Remote

🏄 California – Remote

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Solve hard Day 2 operations problems at scale alongside partner engineers • Find causes, prototype approaches, validate solutions under representative load, and leave operational practices partners can run • Help partners prepare operating models for new NVIDIA platforms, capacity, services, and use cases • Drive adoption in live environments without degrading service • Improve reliability, performance, and economics using incident frequency, recovery time, utilization, and cost-per-token measures • Identify and help close Day 2 maturity gaps across people, process, tooling, telemetry, security, and incident response • Convert validated work into operating procedures, reference architectures, assessments, automation, and agentic workflows • Spot cross-partner patterns and provide field evidence to account teams, support, product, and engineering • Improve NVIDIA's factory planning function

🎯 Requirements

• 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 • 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 • Working experience with 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 • Detailed evidence-led troubleshooting across system boundaries • Ability to lead sophisticated work with partner engineers and cross-functional teams without direct authority • 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 • Experience building or maturing 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, or NVIDIA operations technologies such as Spectrum-X, UFM, Base Command Manager, Mission Control, and GPU or Network Operators • Experience improving fleet health or unit economics through benchmarking, infrastructure as code, GitOps, automated diagnosis, or agent-based remediation

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity • Benefits