Senior Solutions Architect – AI Factory Observability and Visualization

Job not on LinkedIn

🕒 June 24

🏄 California, North Carolina, +1 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 14%

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

• Run AI factory validation tools, microbenchmarks, and workloads provided by the team • Gain a comprehensive understanding of the system from start to finish • Establish what "healthy" represents across the stack • Build and extend the telemetry surface across hardware, fabric, and workload • Serve as the observability expert, investigating gaps in visibility • Develop automation (Python, Shell) for collecting, transforming, and presenting system and network data • Recommend improvements to system visibility, data sources, and reporting • Collaborate with hardware, software, networking, datacenter, and product groups

🎯 Requirements

• Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or related field • 6+ years of experience managing Linux-based systems in HPC, distributed systems, or large AI/ML settings • Hands-on experience with the architecture of multi-GPU and/or multi-node clusters • Solid grasp of how HPC and AI factory systems fit together end to end • Proficiency with Python and Shell/Bash for scripting, automation, and tooling • Practical experience working with observability systems (e.g., Prometheus, Grafana, Loki, or similar) • Experience transforming metrics, logs, and traces into clear, actionable insight for complex distributed environments • Familiarity with GPU and fabric telemetry (e.g., DCGM, NVLink, InfiniBand/Ethernet fabric counters) • Strong communication skills and the ability to work effectively with cross-functional teams

🏖️ Benefits

• Eligible for equity • Health insurance • Professional development opportunities