NVIDIA
Senior AI Infrastructure Engineer - EDA Infrastructure
$184K–$356K
US, CA, Remote +4 · Senior · Full-time · Posted Oct 14, 2026
- Location
- US, CA, Remote
US, MA, Westford
US, TX, Austin
US, WA, Remote
US, NC, Durham - Experience
- 8+ years in infrastructure platform engineering or tooling.
- Education
- BS degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
About the job
Build and operate infrastructure, telemetry, operational workflows, and inventory systems that support NVIDIA GPU cloud services and improve service reliability.
What you'll do
- Build scalable telemetry pipelines, consistent instrumentation patterns, dashboards, alerting, and analysis capabilities.
- Standardize and automate incident, maintenance, on-call, and support workflows; develop reporting and AI-assisted tools to reduce manual work.
- Maintain hardware and software catalogs, data models, and integrations that support infrastructure inventory and self-service discovery.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
- Proficiency in one or more programming languages such as Python, Go, Typescript, or Java.
- Strong understanding of software and infrastructure principles, with production experience.
- Ability to lead cross-functional initiatives involving internal teams and external partners.
Nice to have
- Experience with incident-management processes and SaaS tools, production ML systems or AI agent frameworks, observability platforms, or service catalogs and CMDBs.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
Python, Go, Typescript, Java
AI focus
Build AI-assisted operational tools; production ML, AI agent frameworks, and orchestration tools are listed as preferred experience.
Model-written summary · the original posting is authoritative