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Senior DevOps Engineer, IPP Sanity Engineering

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: NVIDIA
Full Time position
Listed on 2026-03-07
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, AI Engineer, IT Support
Salary/Wage Range or Industry Benchmark: 333500 USD Yearly USD 333500.00 YEAR
Job Description & How to Apply Below

Employer Industry: Technology and Artificial Intelligence

Why consider this job opportunity
  • Salary up to $333,500
  • Opportunity for equity and comprehensive benefits
  • Work in a collaborative and innovative environment with cutting-edge technology
  • Engage in impactful work that shapes the future of AI and computing
  • Join a team recognized as one of the most desirable employers in the tech industry
  • Potential for career advancement within a rapidly growing organization
What to Expect (Job Responsibilities)
  • Lead end-to-end software infrastructure bring-up execution for new GPU products
  • Develop frameworks and scripts to automate workflows and deployments in a private cloud environment
  • Optimize GPU resource utilization and enhance automation for firmware updates
  • Champion configuration automation using tools like Chef, Puppet, Ansible, and Terraform
  • Create extensive monitoring dashboards to maintain real-time insights into infrastructure subsystems
What is Required (Qualifications)
  • Bachelor's or Master's Degree in Computer Science, Software Engineering, or equivalent experience
  • 8+ years of relevant experience in development and operations
  • Hands‑on coding and debugging experience with languages such as Python and Java
  • Proficiency in maintaining and setting up Linux and Windows hosts, as well as VM and container environments
  • Experience with version control systems like Perforce and GIT
How to Stand Out (Preferred Qualifications)
  • Expertise in orchestrating GPU fleet management using agentic AI
  • Strong background in automating bare metal and VM provisioning at scale
  • Knowledge of VM isolation for GPUs and Nvidia Confidential Computing
  • Familiarity with public cloud platforms (AWS, GCP, Azure) and virtualization technologies (VMware, KVM, Docker, Kubernetes)
  • Experience in debugging GPU performance issues and embedded device software development

#Artificial Intelligence #Dev Ops #Cloud Services #GPUManagement #Technology Careers

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Position Requirements
10+ Years work experience
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