Manager, First Time Deployment - NVIS

NVIDIA

United States

Remote

USD 184,000 - 288,000

Full time

7 days ago

Be an early applicant

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a team leader to operationalize the latest technologies by bridging prototypes and production-ready deployment plans for large-scale GPU and AI deployments.

You will recruit and manage a team of solutions architects, system/network and software engineers, set priorities, mentor, and ensure high-quality customer delivery while collaborating with Product Management and Sales to influence roadmap.

Qualifications

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related engineering field or equivalent experience.
8+ years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles.
2+ years leading or mentoring engineers or architects.
System-level CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.
Experience with data center networking (Ethernet/InfiniBand) and data center infrastructure.
Proven ability to lead technical teams and drive complex projects from design through production.
Experience collaborating with Product Management, Sales and Engineering.
Strong time management and hands-on support.
Excellent written and verbal communication.

Responsibilities

Recruit & manage a team of solutions architects, system/network and software engineers for large-scale GPU and AI deployments.
Set priorities, allocate resources, mentor, ensure high-quality customer delivery across multiple projects.
Provide SME in advanced GPU and network systems for strategic customers.
Lead compute/network configuration and performance debugging with your team.
Guide the team in network/compute/software architecture discussions and on-site bring-up.
Synthesize customer requirements across your portfolio.
Collaborate with GPU/Network Systems Engineering, Product Management and Sales to influence roadmap.
Serve as trusted technical advisor to NVIDIA's strategic customers.
Identify new project opportunities for NVIDIA products in data center and AI applications.

Skills

Team leadership

Technical mentoring

GPU networking

Linux/Kernel expertise

Stakeholder communication

Education

Electrical/Computer Engineering, CS, Physics (or related)

Tools

CUDA

Networking hardware (Ethernet/InfiniBand)

Job description

Jul 14, 2026

$184,000 - $287,500/year

Will you be part of the team that helps our partners to develop customer solutions using the latest NVIDIA full stack accelerated computing platform? NVIDIA defines and delivers the computing infrastructure of today and tomorrow. We are committed that these infrastructures deliver the highest value to our customers who own and operate these infrastructures.

We are looking for a team leader to operationalize the latest technologies at NVIDIA by bridging the gap between prototype models and production-ready deployment plans. The team will drive initial deployment setup, prepares sites, establishes product feedback loops to design engineering teams, assembles validation data, resolves obstacles, applies workarounds, and details deployment plans. They lead all aspects of making the latest NVIDIA products and systems functional by capturing install and bring-up evidence, handle the validation process, describe blockers, and find solutions to deploy AI Factories globally.

What you will be doing:

Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments.

Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts.

Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for strategic customers.

Personally lead and guide complex compute/network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters.

Guide your team as they lead network / compute / software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed.

Systematically collect and synthesize customer-specific requirements across your portfolio.

Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions.

Demonstrate SME in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features.

Identify new project opportunities for NVIDIA products and technology solutions in data center and AI applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams

What we need to see:

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

8+ overall years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles, with 2+ years leading or mentoring engineers or architects (formal manager or strong tech lead).

System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.

Experience with data center networking (Ethernet and/or InfiniBand switches, fabrics, and associated tooling) and familiarity with data center infrastructure (power, cooling, deployment constraints).

Proven ability to lead technical teams, set priorities, and drive complex projects from design through production.

Demonstrated success working with Product Management, Sales, and Engineering.

Strong time management skills and ability to balance planning with hands‑on support where needed.

Excellent written and verbal communication, including the ability to lead customer meetings, communicate status and risks, and produce clear design docs, debug summaries, and presentations.

Ways to stand out from the crowd:

Direct people management & recruiting experience for geographically distributed technical teams.

Track record leading bring‑up and deployment of large clusters or supercomputing environments.

Background in external customer‑facing roles (field engineering, escalations, or pre/post‑sales architecture).

Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers.

Hands‑on experience with NVIDIA GPU systems and SDKs (e.g., CUDA), NVIDIA networking technologies (NICs, RoCE, InfiniBand), and/or ARM-based CPU solutions as well as familiarity with virtualization and cloud‑native networking concepts.

We make extensive use of conferencing tools, but occasional (30%) travel is required for on‑site visit to customers and industry events. We are open to remote work location and look forward to have you join our team!

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 3, and 216,000 USD - 345,000 USD for Level 4.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until July 18, 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.

NVIDIA, a pioneer in accelerated computing, revolutionized graphics with the GPU and is at the forefront of AI, gaming, and data-center innovations.

Computer Hardware Manufacturing Computers and Electronics Manufacturing Manufacturing

Company size 10,001+ employees

Company type Public company Founded 1993

Total funding $4B Grant

Momentum

Team growth

19% in 12 mo

47,502 employees on LinkedIn

Mar 23 May 26

Employee experience

What it’s like inside