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$184k–$357k/yr
Full-time
bachelor degree, postgraduate degree
Equity, Health Insurance
Posted 2d ago
~40 hrs/week
Responsibilities
The Engagement Manager coordinates complex customer engagements from initial planning through production bring-up and long-term support readiness. They act as a central point of contact to align cross-functional teams, manage project risks, and ensure clear communication with executive stakeholders.
Requirements
Candidates must have 10+ years of experience in customer-facing technical leadership, infrastructure programs, or accelerated computing environments. A bachelor's or master's degree in a technical field is required, along with a proven track record of managing complex, matrixed projects.
Full job description
NVIDIA is redefining what is possible in AI, accelerated computing, and large-scale compute systems. Within NVIDIA Infrastructure Services (NVIS), we help customers, OEMs, and NVIDIA teams bring advanced GPU systems from early planning into production use. We are growing the Engagement Manager team to guide customer-facing coordination for our most complex NVIS engagements, from early alignment through bring-up, handover, and long-term support readiness. We are excited to add people who can connect technical teams, customer leaders, and NVIDIA decision makers while keeping risks visible and progress clear! The ideal candidate brings infrastructure depth, customer-facing leadership, and influence built through trust, clarity, and sound judgment.
What You Will be doing:
The EM keeps strategic customer engagements moving by connecting the right people, clarifying decisions, and leading all aspects of project progress. You will partner closely with project delivery managers, Solution Architects, Sales, OEM/SI partners, Operations, NVIDIA customer support, and NVIS leadership so customers experience NVIDIA as one coordinated team. We value clear thinking, practical follow-through, and the confidence to ask hard questions early!
Guide account coordination from early planning through bring-up, support handover, and day-2 readiness, while keeping priorities, ownership, and next steps clear.
Create concise updates with RAG view, executive summary, delivery progress, top risks, open actions, and path-to-green plans.
Drive fast resolution of P0/P1 blockers and material customer, delivery, commercial, or operational risks with clear recommended actions.
Align scope and commercial commitments with Sales and Solution Architecture, including support packages, software licensing, and professional services expectations.
Provide clear technical guidelines for key customer requirements.
What We Need To See:
Required qualifications should show a history of leading complex customer work, building trust with senior audiences, and translating technical delivery signals into clear decisions. We look for people who can stay close enough to the work to spot risk, while still leaving day-to-day execution with the project delivery manager.
BS/MS in Computer Science, Engineering, or a similar technical area, or equivalent experience.
10+ years of total experience in customer-facing coordination, engagement leadership, technical delivery, accelerated computing systems, large-scale infrastructure, or enterprise cloud programs, including work with executive customer audiences.
Demonstrated success guiding cross-functional teams in matrixed organizations and holding teams accountable to commitments.
Experience creating structured executive updates with RAG view, risk register, action tracker, delivery plan, and VP-level summary.
Strong risk, issue, change, and blocker-resolution practice while balancing strategic oversight and operational awareness without owning day-to-day execution.
Excellent communication, partner management, and influencing skills, with technical depth in data center systems, AI platforms, networking, compute, storage, or cloud-scale programs.
Ability to travel up to 25% and support occasional weekend work when required for critical customer deployments, site events, or time-sensitive issue resolution.
Ways To Stand Out From The Crowd:
Deep familiarity with AI platforms, large-scale GPU clusters, HPC systems, networking, storage, or DevOps/MLOps practices.
Experience with HPC deployment lifecycles, rack integration, network bring-up, GPU validation, facility readiness, or liquid cooling commissioning.
Experience resolving complex customer issues in high-pressure, multi-team environments.
Familiarity with cloud platforms such as AWS, Azure, GCP, or OCI; tools such as SFDC, Wrike, SAP, Microsoft 365, Teams, or SharePoint; or certification in a related technical or project domain.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 2026.
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.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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Based on 1388 listings with disclosed salaries, most software jobs in Santa Clara, CA pay between $131k–$328k per year. Individual offers vary with seniority, company size, and specialization.
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