Manager, First Time Deployment

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CATXVAWA
Salary: $184,000–$287,500 / yr
Posted: 59 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k

This role $236k

$129k most similar roles pay here $304k

This role pays more than 80% of similar roles. Most pay $163,003–$226,350 — the shaded band above. At the midpoint, this role pays about $236k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Manager, First Time Deployment

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Manager, First Time Deployment - NVIS leads a team of solutions architects and engineers to operationalize advanced technologies by bridging the gap between prototype models and production-ready deployment plans. This role involves managing teams, setting priorities, and overseeing the installation, bring-up, and validation of large-scale GPU and AI networking deployments. The manager serves as a technical point of contact for strategic customers, resolving complex configuration issues and identifying project opportunities in data center and AI applications. Key responsibilities include gathering customer requirements to influence product roadmaps and collaborating with internal engineering and sales teams. Required expertise includes CPU/GPU server architecture, Linux system software, kernel drivers, and data center networking using Ethernet or InfiniBand. Candidates should possess skills in C/C++, CUDA, RoCE, and experience with high-performance computing environments to ensure the successful deployment of AI Factories globally.

Skills

GPU InfiniBand Ethernet CUDA RoCE Linux Kernel C++ ARM Data Center Networking System Software Kernel Drivers Cluster Bring-up Supercomputing Cloud-native Networking Virtualization

What you'll do

Recruit and manage a team of solutions architects and engineers focused on large-scale GPU and AI networking deployments.
Bridge the gap between prototype models and production-ready deployment plans for NVIDIA products.
Lead complex compute and network configuration, performance debugging, and cluster bring-up processes.
Serve as the senior technical point of contact and trusted advisor for strategic customers.
Collect customer requirements to influence product roadmap priorities and reference design packaging.
Identify new project opportunities for NVIDIA products in data center and AI applications.
Oversee the validation process by capturing installation evidence, identifying blockers, and finding deployment solutions.

What we're looking for

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering field or equivalent experience.
Experience in Systems, Solutions, Field, Network, or Data Center Engineering roles.
2+ years of experience leading or mentoring engineers or architects as a manager or technical lead.
System-level expertise in CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.
Experience with data center networking including Ethernet/InfiniBand switches, fabrics, and infrastructure like power and cooling.
Proven ability to lead technical teams, manage projects from design to production, and collaborate with Product Management and Sales.
Excellent communication skills for leading customer meetings, producing design documents, and delivering presentations.
Proficiency in C/C++, Linux kernel debugging, and experience with NVIDIA GPU systems or networking technologies.

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