NVIDIA
Engineering Manager, Reliability Engineering Flywheel - EDA Infrastructure
$224K–$431K
US, WA, Redmond +4 · Manager · Full-time · Posted Sep 29, 2026
- Location
- US, WA, Redmond
US, TX, Remote
US, WA, Remote
US, CA, Remote
US, MA, Remote - Experience
- 10+ overall years of software engineering or related experience, including 5+ years of engineering leadership managing teams or complex technical programs.
- Education
- BS degree or equivalent experience.
About the job
Leads a team that builds and operates EDA infrastructure operational processes and platforms, improving reliability, readiness, and efficiency through roadmaps, engineering, and automation.
What you'll do
- Own the roadmap and delivery of operational processes and platforms, from requirements through adoption and results.
- Set technical direction and partner across teams to establish practices for incidents, maintenance, on-call, issue management, and customer-serving readiness.
- Hire and develop engineers and technical leads; align priorities, communicate risks, and provide technical leadership during major incidents.
What they ask for
- BS degree or equivalent experience.
- Knowledge of operational processes and supporting platforms, including roadmap, delivery, adoption, and improvement.
- Strong technical judgment in software architecture, platform integration, and engineering tradeoffs.
- Clear communication and a record of developing engineers, growing teams, and delivering results under pressure.
Nice to have
- Established readiness standards for service ownership, support coverage, and reliability objectives; experience building and scaling relevant operational platforms.
- Applied AI or LLMs to improve triage, knowledge retrieval, incident analysis, or automation; experience supporting EDA, large-scale compute, or hybrid infrastructure.
Pay
224,000 USD - 356,500 USD (base salary, Level 3); 272,000 USD - 431,250 USD (base salary, Level 4)
Tools
AI, LLMs, EDA
AI focus
Use automation, AI, and operational lessons to improve reliability and reduce manual work; preferred experience applying AI or LLMs to triage, knowledge retrieval, incident analysis, or automation.
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