Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Communication @ 6
GPU @ 4
Networking @ 8
People Management @ 8
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a highly motivated Deployment Manager to own the labor, logistics, and resources required to physically bootstrap large-scale DSX AI data center builds, from equipment receipt through rack-ready hand-off. The role requires deep knowledge of large-scale data center deployments in distributed, multi-vendor environments.
Responsibilities
- Build and lead a deployment team consisting of internal technicians and vendor labor. The team will manage receiving, staging, rack placement, and power and network connections at scale.
- Establish NVIDIA's deployment approach for phased DSX builds.
- Anticipate labor, loading dock, storage, and scheduling constraints and implement solutions before issues occur.
- Collaborate with Data Center Operations, engineering, receiving, production owners, and vendor partners to establish a deployment and hand-off model through the pre-cluster stage.
- Develop staffing plans, metrics, dashboards, KPIs, and reporting tools to measure deployment throughput and support continuous optimization.
- Establish strong business relationships with internal and external partners, including general contractors and vendors.
- Break down functional silos and foster a transparent, collaborative business unit.
- Facilitate meetings and communication activities to align executive and senior leadership on deployment status, build schedules, and cross-functional dependencies.
- Identify, track, and prioritize schedule, labor, and supply risks, and develop mitigation strategies.
- Establish repeatable processes and runbooks, including decommissioning and site restoration, so lessons from early builds can be applied to future DSX sites.
Requirements
- Positive, high-energy attitude.
- BS, BA, or BEng degree in a technical field, or equivalent experience. A master's degree is preferred.
- At least 10 years of relevant experience across data center deployment, construction, operations, hardware, and networking, including people management.
- At least 4 years of experience leading distributed and diverse teams, including contractor and vendor labor.
- Tolerance for ambiguity, flexibility, and willingness to implement ideas from others.
- Ability to lead complex, cross-functional programs through shifting priorities and compressed schedules.
- Excellent written and verbal communication, quantitative, organizational, and analytical skills.
- Ability to share concise conclusions and provide supporting analysis as needed.
- Passion for finding solutions to problems and being creative and technology savvy.
Preferred Qualifications
- Experience working in a fast-paced technology environment, with attention to detail and the ability to manage multiple priorities.
- Deep understanding of data center power, air and liquid cooling, networking, and cabling infrastructure.
- Experience deploying high-density GPU racks at scale.
- Experience with NetBox, CMMS, SNOW, inventory management, and project scheduling tools.
- Self-starter with a growth mindset and commitment to continuous learning and team improvement.
- High emotional intelligence and the ability to work effectively with everyone from senior vice presidents to field engineers and contractors.
- Strong strategic outlook, persuasion, and negotiation skills.
Benefits
The expected base salary range is USD 184,000–276,000 per year, depending on location, experience, and other objective job-related factors. The position also includes eligibility for equity and benefits.
Applications will be accepted at least until November 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
More jobs at Nvidia
Senior Engineer - Quantum Error Correction Libraries
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Enterprise Product Engineer - Fullstack
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Manager, Incident Management - DGX Cloud Resilience Engineering
Nvidia · Santa Clara, United States
USD 224,000-431,200 per year
Senior Data Engineer, Operational Excellence - EDA Infrastructure
Nvidia · United States
USD 152,000-287,500 per year
Senior Manager, Developer Tooling and QE
Nvidia · Santa Clara, United States
USD 272,000-488,800 per year
Similar jobs
Manager, Software Architecture
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior/Staff Network Engineer, AI/HPC
Groq · New York City, United States, San Francisco, United States, Dallas, United States
USD 270,400-401,600 per year
Senior/Staff Forward Deployed Engineer, AI Infrastructure
Groq · New York City, United States, San Francisco, United States, Dallas, United States
USD 270,400-401,600 per year
Field CTO, Financial Services AI Infrastructure
Nebius · United States, New York City, United States
USD 210,000-260,000 per year
Technical Program Manager, Inference
Anthropic · San Francisco, United States, New York City, United States
USD 290,000-435,000 per year
Software Engineer, Sandboxing
Anthropic · San Francisco, United States, New York City, United States
USD 320,000-485,000 per year
Technical Program Manager - IP Backbone
Nebius · Spain, Netherlands, Germany, United States, Switzerland, United Kingdom, France
USD 180,000-230,000 per year
Senior Software Engineer, AI Compute Scheduling
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year