
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 1 minute ago
🏄 California, New York, +1 more states – Remote
💵 $248k - $396.8k / year
⏰ Full Time
🟠 Senior
👔 Manager
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Serve as a primary coordination point between network customer/stakeholder teams, Network Automation, Network Architecture, and Network Engineering teams • Collaborate with Network Architecture and Engineering to understand approved designs, clarify deployment requirements, and align on technical standards • Work with Network Automation to coordinate provisioning workflows, communicate deployment requirements with Architecture/Engineering, and stakeholder teams • Identify and drive deployment team feature requests for tooling improvements with the Network Automation team • Coordinate logical datacenter deployment activities, including source-of-truth updates, configuration generation, orchestration, and automated validation • Improve deployment predictability and quality by bringing feedback to Network Automation, Architecture, and Engineering teams and tracking agreed process and tooling improvements
• Bachelor’s degree in engineering, computer science, telecommunications, or a related field, or equivalent experience • 9+ overall years of relevant experience in infrastructure deployment, network engineering, datacenter operations, or technical program management • 5+ years of engineering leadership managing teams or complex technical programs • Strong networking expertise across backbone and datacenter edge layers, including MPLS, RSVP-TE, routing protocols, traffic engineering, and resilient network design • Strong understanding of datacenter network architecture, including leaf-spine topologies, routing and switching, IP addressing, segmentation, redundancy, and management networks • Working knowledge of ZTP mechanisms and their dependencies, including DHCP, DNS, bootstrapping, image and configuration services, device onboarding, and provisioning failure recovery • Practical experience with logical datacenter build tools and workflows used for source-of-truth management, inventory modeling, configuration generation, orchestration, and automated validation • Demonstrated ability to work closely with network automation, architecture, and engineering teams to translate technical requirements into coordinated deployment activities • Ability to interpret architecture diagrams, deployment plans, provisioning logs, and validation results to identify dependencies and coordinate issue resolution • Experience managing schedules, technical risks, change coordination, and readiness tracking across multiple teams and locations • Familiarity with deployment pipelines, APIs, CMDBs, and asset inventory systems • Clear technical communication and strong organizational skills, with the ability to facilitate decisions and communicate deployment status to technical and business stakeholders • Experience supporting large-scale AI, GPU, HPC, or cloud datacenter deployments • Familiarity with Ethernet fabrics, BGP, EVPN/VXLAN, or InfiniBand environments • Familiarity with infrastructure automation tools such as Ansible or Terraform, along with Python or API-based workflows • A track record of improving deployment coordination, reducing delays, and helping teams resolve recurring provisioning and build issues • Strong collaboration skills and the ability to influence across Network Automation, Network Architecture, Network Engineering, Operations, and Support
• Equity • Benefits
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