NVIDIA is looking for a senior engineer to design and develop data center infrastructure automation tools core to large-scale supercomputer and cloud deployments. To enable reliable, scalable and efficient automation to support core infrastructure-as-code workflows and tools, including CI/CD pipelines, compute resource management flow for environments that incorporate GPUs, (DPUs) Data Processing Units, as well as other devices and resources.
We are looking for an engineer who has a deep understanding in building data center automation tools in a distributed systems environment, outstanding design skills and a track record in building and delivering large-scale software infrastructure
What you will be doing:Crafting and developing DC automation frameworks, workflows, and data models for automating processes.
Being a member of the 24/7 Production engineering team to support Production Services, with a focus on reducing manual tasks.
Crafting workflows to automate DC operation tasks such as provisioning, patching, image build, telemetry, and resolving production issues for Production Engineering.
Performing integrations between various DC systems such as DCIM, alert management and telemetry, and the control plane of infrastructure (storage, compute, and networking).
Building data center automation specifically adapted for AI workloads and applications.
Minimum 5+ years of demonstrated experience in developing automation platforms for data centers to support highly available, large-scale, cloud service environments.
BS/BTech Degree in CS or an equivalent combination of education, technical training, and work experience.
Expertise in building software tools for automating data center operations - OS provisioning, Image deployment, patching, packaging, and change implementation activities.
Proficiency in at least one of the programming languages: Python or Golang.
Deep knowledge of DCIM, asset database build/implementation, and DC automation tools such as Ansible or terraform.
Experience working with CI/CD tools like Jenkins, ArgoCD, or AWX.
Experience deploying and maintaining embedded devices such as SmartNICs, DPUs, and other devices that run Linux on less-than-traditional servers.
In depth knowledge in Linux and strong experience on K8s Containers Technologies.
Strong communication and soft skills, able to present to cross-team members in a persuasive manner.
Enthusiasm for influencing and establishing collaborations with software and functional groups such as development, server, storage, and security teams in a matrix organization.
Experience architecting, building, and deploying automation frameworks for large-scale (1000s of machines) environments, used by thousands of people.
Passion for innovation and investing in groundbreaking technologies.
Ability to learn new technologies quickly.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers the next generation inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us build and Operate Datacenter infrastructure at scale, which would further accelerate the next wave of artificial intelligence services.
Skills Required
- 5+ years developing automation platforms for data centers supporting large-scale cloud/service environments
- BS/BTech in Computer Science or equivalent education/experience
- Experience building software tools for OS provisioning, image deployment, patching, packaging, and change implementation
- Proficiency in at least one language: Python or Golang
- Deep knowledge of DCIM, asset database implementation, and DC automation tools such as Ansible or Terraform
- Experience with CI/CD tools such as Jenkins, ArgoCD, or AWX
- Experience deploying and maintaining embedded devices (SmartNICs, DPUs) running Linux on non-traditional servers
- In-depth Linux knowledge and strong experience with Kubernetes/containers technologies
- Strong communication and collaboration skills across cross-functional teams
- Enthusiasm for influencing and collaborating with development, server, storage, and security teams in a matrix organization
- Experience architecting and deploying automation frameworks for thousands of machines (standout)
- Ability to learn new technologies quickly (standout)
- Passion for innovation and investing in groundbreaking technologies (standout)
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
