NVIDIA
Senior Solutions Architect, AI Factory Observability and Visualization - NVIS
$184K–$356K
US, CA, Remote +3 · Senior · Full-time · Posted Sep 18, 2026
- Location
- US, CA, Remote
US, TX, Austin
US, NC, Durham
US, CA, Santa Clara - Experience
- 6+ years managing Linux-based systems in HPC, distributed systems, or large AI/ML settings.
- Education
- Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or a related field.
About the job
Develop end-to-end observability and visualization for HPC systems and AI factories, validating system health and performance and making telemetry actionable for teams and partners.
What you'll do
- Run validation tools, microbenchmarks, and workloads; interpret results to assess system readiness and performance.
- Define health metrics, signals, and thresholds, and build telemetry collection, transformation, storage, and presentation across hardware, fabric, and workloads.
- Automate data collection and reporting, investigate visibility gaps, and collaborate across teams on customer deployment readiness.
What they ask for
- Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or a related field.
- Hands-on experience with multi-GPU and/or multi-node cluster architecture, including networking and interconnects.
- Proficiency with Python and Shell/Bash for scripting, automation, and tooling.
- Practical experience with observability systems, including custom exporters or collectors, alerts, metric cardinality, and retention at scale.
Nice to have
- Experience with AI factory or large-scale AI infrastructure build, deployment, or operations.
- Background in HPC systems engineering, SRE, or systems analysis for GPU-accelerated environments; experience building automation and data pipelines at scale is also noted.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Linux, Python, Shell/Bash, Prometheus, Grafana, Loki, DCGM, NVLink
AI focus
Uses AI to solve practical problems, improve workflows, and guide data-driven decisions (preferred).
Model-written summary · the original posting is authoritative