NVIDIA

4 weeks ago

Senior Solutions Architect, AI Factory Observability and Visualization - NVIS

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Senior Solutions Architect for AI Factory Observability and Visualization, driving end-to-end visibility for HPC and AI factory systems. You’ll validate performance with microbenchmarks, build telemetry across hardware to workload, and collaborate cross-functionally to deliver actionable insights and dashboards that protect system health and enable customer deployments.

Location: Santa Clara, Austin, Durham

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Run AI factory validation tools, microbenchmarks, and workloads provided by the team, and interpret results to assess system health and performance.
•Gain a comprehensive understanding of the system from start to finish, including network topology, interconnects, and compute.
•Establish what “healthy” represents across the stack — the metrics, logs, and signals that confirm a system is functioning well, and the thresholds that show it isn't.
•Build and extend the telemetry surface across hardware, fabric, and workload, crafting how data is collected, transformed, stored, and surfaced.
•Serve as the observability expert, investigating gaps in visibility to ensure it reflects true system behavior.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key 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, including networking and interconnects.
•Proficiency with Python and Shell/Bash for scripting, automation, and tooling.
•Practical experience with observability systems (e.g., Prometheus, Grafana, Loki, or similar), including building custom exporters or collectors, setting up alerts, and handling metric cardinality and retention at scale.

Experience:6+ yearsHPCAIAI factoryDistributed systemsGPU

Education:Bachelor's

Skills:PythonShellBashPrometheusGrafanaLokiDCGMNVLinkInfiniBandEthernetLinux

Tech Stack:PythonShellBashPrometheusGrafanaLokiDCGMNVLinkInfiniBandEthernetLinux

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

Senior Solutions Architect, AI Factory Observability and Visualization - NVIS

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara, Austin, Durham

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Run AI factory validation tools, microbenchmarks, and workloads provided by the team, and interpret results to assess system health and performance.
•Gain a comprehensive understanding of the system from start to finish, including network topology, interconnects, and compute.
•Establish what “healthy” represents across the stack — the metrics, logs, and signals that confirm a system is functioning well, and the thresholds that show it isn't.
•Build and extend the telemetry surface across hardware, fabric, and workload, crafting how data is collected, transformed, stored, and surfaced.
•Serve as the observability expert, investigating gaps in visibility to ensure it reflects true system behavior.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key 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, including networking and interconnects.
•Proficiency with Python and Shell/Bash for scripting, automation, and tooling.
•Practical experience with observability systems (e.g., Prometheus, Grafana, Loki, or similar), including building custom exporters or collectors, setting up alerts, and handling metric cardinality and retention at scale.

Experience:6+ yearsHPCAIAI factoryDistributed systemsGPU

Education:Bachelor's

Skills:PythonShellBashPrometheusGrafanaLokiDCGMNVLinkInfiniBandEthernetLinux

Tech Stack:PythonShellBashPrometheusGrafanaLokiDCGMNVLinkInfiniBandEthernetLinux

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor