Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
At NVIDIA, we are seeking an accomplished Senior System Software Engineer - Infrastructure to join our world-class Platform team. This outstanding opportunity will allow you to reshape the future of GPU Cloud computing and contribute to groundbreaking projects in the fields of Deep Learning and AI. You will decide how we effectively implement creative solutions that compete on a global scale, all while working in an encouraging, inclusive environment.
What you'll be doing:- Designing, deploying, and maintaining scalable AWS infrastructure using EKS, EC2, S3, and related services.
- Managing and optimizing Kubernetes clusters for high availability, resilience, and performance.
- Creating and maintaining GitLab CI/CD pipelines to automate build, test, and deployment workflows.
- Developing automation scripts and Infrastructure as Code (IaC) templates with Terraform.
- Monitoring system performance and implementing logging, metrics, and alerting through LGTM, Prometheus, Datadog, or Splunk.
- Implementing DevSecOps best practices, embedding security scans, compliance checks, and secret management in the CI/CD lifecycle.
- Supporting platform observability, diagnosing production incidents, and enhancing self-service for developer teams.
- Collaborating with cross-functional teams to streamline delivery and improve developer productivity.
What we need to see:- BS/MS in Computer Science and/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, Helm charts, and container orchestration principles.
- Proficiency with GitLab CI/CD or equivalent pipeline automation tools.
- Experience implementing GitOps workflows (ArgoCD, FluxCD).
- Strong foundation in scripting languages such as Python, Bash, or Go.
- Familiarity with networking, load balancing, and security in cloud-native environments.
- Experience enforcing cloud and container security standards and compliance practices.
- Excellent documentation, problem-solving, and communication skills for cross-team alignment.
Ways to stand out from the crowd:- Managed multi-cloud and hybrid Kubernetes clusters across AWS, Google Cloud Platform, 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, chaos testing, disaster recovery, and process optimization.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We work with some of the most innovative technologies and forward-thinking, hardworking people in the world. If you are a great teammate who is inquisitive, innovative, driven to succeed, and autonomous, we want to hear from you! Join us to help accelerate the next wave of artificial intelligence!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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