Senior DevOps Engineer
NVIDIA
Job Overview
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Job Description
Overview
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. As a Senior DevOps Engineer, you will work on groundbreaking projects that integrate technologies like real‑time 3D rendering, physics, robotics, and digital twins.
Role Responsibilities
You will build and operate highly reliable, scalable CI/CD pipelines using GitLab and GitHub, as well as maintain developer R&D environments with virtualized GPU desktop instances. You will support orchestration of GPU‑enabled clusters running Linux and Windows workloads with containerization tools such as Docker and Kubernetes, and virtualization solutions like VMware and KVM.
You will automate infrastructure provisioning, scaling, and configuration using Infrastructure‑as‑Code tools including Terraform, Ansible, AWS CDK, and Azure Bicep. Monitoring and optimizing system health, performance, build/test throughput, and pipeline reliability is a key part of the role. Collaboration with developer teams to enhance release workflows and mentor junior team members is essential.
Qualifications
- Bachelor’s in Computer Science, Software Engineering or equivalent experience.
- 8+ years in DevOps, SRE, or Build/Release engineering roles.
- Proficiency in Python for scripting and automation.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Hands‑on experience with CI/CD systems, virtualization, and container orchestration.
Bonus Skills
Familiarity with GPU‑accelerated systems, CUDA, NVIDIA DGX/GPU cluster infrastructure, AI inference workloads, and robotics simulation is a plus.
Key skills/competency
- CI/CD
- DevOps
- Python
- AWS
- Docker
- Kubernetes
- Terraform
- Linux
- Virtualization
- Mentoring
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their innovation legacy and team collaborations.
- Customize your resume: Highlight CI/CD and DevOps projects.
- Showcase technical skills: Emphasize Python and cloud experience.
- Prepare for technical interviews: Practice real-world DevOps scenarios.
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