NVIDIA’s EDA Infrastructure organization builds and operates the systems that support chip development. We are looking for an engineering manager to lead the team responsible for operational processes and platforms across incident management, maintenance, on-call, issue management, and customer-serving readiness.
You will own the roadmap and delivery, from defining how teams work to building the tools they use. You will partner with infrastructure and service owners to improve reliability, reduce manual work, and ensure services are ready to support customers. Your team will use automation, AI, and lessons from operational events to drive improvements.
What you’ll be doing:
- Lead a team and own the roadmap for operational processes and platforms, from requirements and delivery through adoption and results.
- Set technical direction, prioritize work, and guide execution across engineering and operational disciplines.
- Partner with infrastructure, product, and security teams to establish consistent practices for incident response, maintenance, on-call, issue management, and customer-serving readiness.
- Hire and develop engineers and technical leads, building a team with clear ownership and accountability.
- Align priorities across teams, communicate progress and risks, and provide technical leadership during major incidents.
What we need to see:
- BS degree or equivalent experience with 10+ overall years of software engineering or related experience, including 5+ years of engineering leadership managing teams or complex technical programs.
- 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 with engineers, cross-functional partners, and executive stakeholders.
- A record of developing engineers, growing teams, and delivering results under pressure.
Ways to stand out from the crowd:
- Established readiness standards covering service ownership, support coverage, and reliability objectives.
- Built, integrated, and scaled platforms pertaining the incident, maintenance, customer experience management, along with on-call and production readiness
- Applied AI or LLMs to improve triage, knowledge retrieval, incident analysis, or automation.
- Supported EDA, large-scale compute, or hybrid infrastructure with complex dependencies and demanding availability requirements.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous?
Do you love a challenge? If so, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. If you're creative and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:224,000 USD – 356,500 USD for Level 3; and 272,000 USD – 431,250 USD for Level 4.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS degree or equivalent experience
- 10+ years of overall software engineering or related experience
- 5+ years of engineering leadership managing teams or complex technical programs
- 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 with engineers, cross-functional partners, and executive stakeholders
- Record of developing engineers, growing teams, and delivering results under pressure
- Experience establishing readiness standards for service ownership, support coverage, and reliability objectives
- Experience building, integrating, and scaling incident, maintenance, customer experience, on-call, or production readiness platforms
- Experience applying AI or LLMs to triage, knowledge retrieval, incident analysis, or automation
- Experience supporting EDA, large-scale compute, or hybrid infrastructure with complex dependencies and demanding availability requirements
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
