Senior Systems Engineer, Storage - DGX Cloud

About the role

Systems engineers at NVIDIA are responsible for deploying and operating reliable, automated platforms and building tools and services that keep storage and data infrastructure healthy and performant. They ensure that internal and external facing GPU cloud services are deployed reliably, observable end-to-end, and continuously improved through automation.

Responsibilities

• Design, deploy, and operate solutions on Kubernetes for large-scale storage and data platforms, including the manifests, Helm charts, and operators that run them.
• Build tools, services, and automation that improve the lifecycle of storage and data systems – from provisioning and configuration through deployment, scaling, and day-2 operations.
• Develop and operate telemetry and observability for production systems – metrics, logging, tracing, dashboards, and alerting – so that system health, availability, and latency are measurable and actionable.
• Apply strong analytical troubleshooting skills to diagnose and resolve complex issues across distributed, containerized infrastructure.
• Work closely with peers and partner teams to improve the lifecycle of services, from inception and design through deployment, operation, and refinement.
• Scale systems sustainably through automation, infrastructure-as-code, and CI/CD, and evolve systems by pushing for changes that improve reliability and velocity.
• Support services before they go live through activities such as deployment automation, capacity planning, and launch and readiness reviews.
• Practice sustainable incident response and postmortems, and participate in an on-call rotation to support production systems.

Requirements

• BS degree (or equivalent experience) in Computer Science or related technical field involving coding.
• 12+ years of practical experience.
• Hands-on experience with Kubernetes – deploying, configuring, and operating workloads and solutions on Kubernetes in production.
• Experience building tools and services for storage, data, or platform infrastructure, with solid software design fundamentals (algorithms, data structures, complexity analysis) on large-scale Linux-based systems.
• Experience building and operating telemetry and observability using tools such as Prometheus, InfluxDB, Grafana, and the Elastic stack.
• Strong analytical troubleshooting skills with a systematic, root-cause-driven approach to identifying and resolving complex problems.
• Proficiency in one or more of the following: Python, Go, or Java.
• Good knowledge of infrastructure configuration management and infrastructure-as-code tools such as Ansible, Chef, Puppet, ArgoCD, Git Pipelines, and Terraform.

Qualifications

• A customer-first mindset with a focus on customer satisfaction and a passion for ensuring customer success.
• Experience with Git, code review, pipelines, and CI/CD.
• Experience using or running large private and public cloud systems based on Kubernetes, OpenStack, and Docker.
• Interest in crafting, analyzing, and fixing large-scale distributed systems, with strong debugging skills and a systematic problem-solving approach.
• Experience designing storage- or data-focused tooling and automating their operations at scale.
• Thriving in collaborative environments and enjoying working with various teams, and being flexible in adapting to different working styles.

Benefits

• NVIDIA offers competitive compensation packages, including base salaries ranging from $208,000 to $333,500 for Level 5 and from $256,000 to $414,000 for Level 6, based on location, experience, and the pay of employees in similar positions.
• Equity and benefits are also provided.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $208,000 - $333,500 for Level 5, and $256,000 - $414,000 for Level 6.

Schedule

This posting is for an existing vacancy. Applications for this job will be accepted at least until July 9, 2026.