As a Technical Marketing Engineer on NVIDIA’s Cloud Accelerator team, you’ll play a pivotal role in enabling cloud and ecosystem partners to deploy and utilize cutting-edge AI infrastructure solutions. Your daily responsibilities include building automation tools, creating demos, and developing reference architectures that showcase how to integrate various layers of data center hardware and software. You will collaborate closely with cross-functional teams such as Product, Engineering, and Field to demonstrate seamless integrations across the full stack, from compute nodes and storage to AI platforms. Additionally, you’ll publish technical content like deployment guides and code examples to support field teams and partners in integrating NVIDIA’s technologies effectively. This role requires a deep understanding of data center infrastructure, cloud-native deployments using Kubernetes, and experience with infrastructure-as-code practices. Familiarity with NVIDIA DPUs, DOCA, and switch operating systems is beneficial, as well as expertise in securing multi-tenant environments and managing AI/ML platforms on the cloud.
Illustrate methods for deploying and managing NVIDIA’s infrastructure software components.
Build integrations across data center hardware, infrastructure management software, AI platforms, and use cases.
Publish technical assets like reference architectures and deployment guides to assist field teams.
Engage with the developer community to advocate for and support NVIDIA’s infrastructure software.
Configure physical systems, networking, and multi-tenant software to support AI solutions.
What we're looking for
8+ years of data center and infrastructure expertise with strong configuration and deployment skills.
Experience in cloud-native deployments and managing Kubernetes clusters.
Proficiency in infrastructure-as-code development and automation for cloud technologies.
Background in cloud AI/ML platforms, security concepts, and multi-tenant architecture.
Ability to collaborate effectively across multiple teams and provide technical input.
Strong problem-solving skills and independent decision-making capabilities in engineering contexts.
BS or MS in engineering, computer science, or a related technical field.
Market check
Salary context
This
$160,000–$253,000
range sits above
65%
of similar postings on FindRole.
Peer median band
$138,207–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$149,425–$217,725
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Us, Ca, Santa Clara, US25 days ago
$168,000–$258,750
Jira
Aha!
Confluence
Git
Distributed version control systems
Reliability engineering
Resilience development
Service performance metrics
Goodput
Efficiency
Utilization
Distributed training frameworks
Checkpointing
NCCL
Slurm
AI infrastructure
Large-scale compute platforms
CI/CD