Senior Systems Engineer, Storage - DGX Cloud

Systems Engineering is an engineering discipline focused on building,

automating, and operating the platforms and tooling that deliver large-scale

production systems with high efficiency, reliability, and velocity. It combines

software and systems engineering practices across infrastructure automation,

containerized platforms, storage, telemetry, and observability. Systems

engineers are highly specialized and possess expertise across domains such as

Kubernetes and container orchestration, infrastructure-as-code, CI/CD, storage

systems, monitoring, and analytical troubleshooting. Their responsibilities

center on deploying and operating reliable, automated platforms and on building

the tools and services that keep storage and data infrastructure healthy and

performant. Our team at NVIDIA ensures that our internal and external facing GPU

cloud services are deployed reliably, observable end-to-end, and continuously

improved through automation. We enable developers to ship changes safely through

repeatable CI/CD pipelines and Kubernetes-based deployments while keeping an eye

on capacity, latency, and performance. A core part of this work is an SRE

mindset: eliminating manual toil through automation, building self-service

tooling, and growing the efficiency of production systems. We use a breadth of

tools and approaches to tackle a broad spectrum of problems, and practices such

as blameless postmortems, proactive identification of failure modes, and

iterative improvement are key to product quality and to an interesting, dynamic

day-to-day. Our culture of diversity, intellectual curiosity, problem-solving,

and openness is important to our success. Our organization brings together

people with a wide variety of backgrounds, experiences, and perspectives. We

encourage them to collaborate, think big, and take risks in a blame-free

environment. We promote self-direction to work on meaningful projects while

striving to build an environment that provides the support and mentorship needed

to learn and grow. What You Will Be Doing: 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. What We Need To See: 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. Ways

to Stand Out from the Crowd: 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.

Thrive in collaborative environments and enjoy working with various teams, and

are flexible in adapting to different working styles. NVIDIA is widely

considered to be one of the technology world’s most desirable employers. We have

some of the most forward-thinking and hardworking people in the world working

for us. If you're creative and autonomous, we want to hear from you! 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 USD - 333,500

USD for Level 5, and 256,000 USD - 414,000 USD for Level 6. You will also be

eligible for equity and benefits. Applications for this job will be accepted at

least until July 9, 2026. This posting is for an existing vacancy. NVIDIA uses

AI tools in its recruiting processes. NVIDIA is committed to fostering an

inclusive 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. NVIDIA pioneered accelerated computing. Today,

our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.