NVIDIA
Senior System Software Engineer - Infrastructure
NVIDIA, Myrtle Point, Oregon, United States, 97458
Employer Industry: Technology (AI and GPU Computing)
Why consider this job opportunity
Salary up to $356,500
Eligibility for equity and comprehensive benefits
Opportunity to work on groundbreaking projects in AI and Deep Learning
Collaborative and inclusive work environment
Chance to influence the future of GPU Cloud computing
Work with innovative technologies and a talented team
What to Expect (Job Responsibilities)
Design, deploy, and maintain scalable AWS infrastructure using EKS, EC2, S3, and related services
Manage and optimize Kubernetes clusters for high availability, resilience, and performance
Create and maintain GitLab CI/CD pipelines to automate build, test, and deployment workflows
Develop automation scripts and Infrastructure as Code (IaC) templates with Terraform
Implement DevSecOps best practices, embedding security scans and compliance checks in the CI/CD lifecycle
What is Required (Qualifications)
BS/MS in Computer Science or equivalent experience
12+ years of hands‑on experience building/supporting complex services
Strong hands‑on experience with AWS services (VPC, IAM, EC2, EKS, Lambda, CloudWatch)
Deep knowledge of Kubernetes internals and container orchestration principles
Proficiency with GitLab CI/CD or equivalent pipeline automation tools
How to Stand Out (Preferred Qualifications)
Managed multi‑cloud and hybrid Kubernetes clusters across AWS, GCP, and Azure
Contributed to open‑source DevOps projects, including Kubernetes and GitLab initiatives
Earned certifications such as CKA, AWS DevOps Engineer, and GitLab Certified Specialist
Applied AI/ML tools and AIOps platforms for predictive monitoring and automation
Led DevOps teams in platform engineering and process optimization
#Technology #AI #CloudComputing #DevOps #CareerOpportunity
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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Why consider this job opportunity
Salary up to $356,500
Eligibility for equity and comprehensive benefits
Opportunity to work on groundbreaking projects in AI and Deep Learning
Collaborative and inclusive work environment
Chance to influence the future of GPU Cloud computing
Work with innovative technologies and a talented team
What to Expect (Job Responsibilities)
Design, deploy, and maintain scalable AWS infrastructure using EKS, EC2, S3, and related services
Manage and optimize Kubernetes clusters for high availability, resilience, and performance
Create and maintain GitLab CI/CD pipelines to automate build, test, and deployment workflows
Develop automation scripts and Infrastructure as Code (IaC) templates with Terraform
Implement DevSecOps best practices, embedding security scans and compliance checks in the CI/CD lifecycle
What is Required (Qualifications)
BS/MS in Computer Science or equivalent experience
12+ years of hands‑on experience building/supporting complex services
Strong hands‑on experience with AWS services (VPC, IAM, EC2, EKS, Lambda, CloudWatch)
Deep knowledge of Kubernetes internals and container orchestration principles
Proficiency with GitLab CI/CD or equivalent pipeline automation tools
How to Stand Out (Preferred Qualifications)
Managed multi‑cloud and hybrid Kubernetes clusters across AWS, GCP, and Azure
Contributed to open‑source DevOps projects, including Kubernetes and GitLab initiatives
Earned certifications such as CKA, AWS DevOps Engineer, and GitLab Certified Specialist
Applied AI/ML tools and AIOps platforms for predictive monitoring and automation
Led DevOps teams in platform engineering and process optimization
#Technology #AI #CloudComputing #DevOps #CareerOpportunity
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
#J-18808-Ljbffr