NVIDIA
Senior Systems Engineer - Software
We’re inviting you to join NVIDIA’s Cloud Native Engineering (NVCNE) group’s backend software team as a Cloud Platform Software Engineer. You will work alongside architects, designers, frontend engineers, SREs and others to deliver a software platform that supports the lifecycle of AI super‑compute infrastructure on Kubernetes, enabling AI services across the cloud.
What You Will Be Doing
Develop software systems to support large‑scale deployments of cloud infrastructure
Design, develop and distribute APIs to support Infrastructure as Code (IaC) automation and deployment workflows
Contribute to multiple source code projects, ensuring alignment with NVIDIA requirements and delivering high‑quality software services
Collaborate with engineering managers, architects, designers and frontend engineers to deliver scalable solutions
Automate the validation of software solutions with unit and integration tests
Partner with other engineers on proposed designs and product direction
Share successes and failures openly in a no‑blame environment
What We Need To See
BS in Computer Science, Information Systems, Computer Engineering (or equivalent) with at least 12 years of experience
5–7 years of proven experience in large‑scale software development
Experience building and delivering services on Kubernetes
Proficiency with cloud‑native infrastructure (AWS, GCP, Azure, OCI)
Collaborated with teams to write software to support cloud services at scale
Ability to troubleshoot issues across multiple layers: infrastructure, Kubernetes, application runtime
Strong proficiency in Golang for building Kubernetes operators, controllers, and custom tooling
Experience designing and managing Kubernetes Custom Resource Definitions (CRDs)
Knowledge of managed Kubernetes services and scaling strategies across cloud and on‑prem environments
Experience developing auto‑scaling infrastructure components and incident response/root cause analysis
Ways To Stand Out From The Crowd
Experience with Kubernetes Cluster API, Terraform, CSP API and other infrastructure tooling
Background with contributing to open‑source projects
Solid experience with Kustomize or other Kubernetes packaging tools
Capable of refactoring software to run in systems such as Kubernetes
Ability to discuss and work with CSI, CNI, and CRI as well as familiarity with CNCF and ecosystem tooling
Benefits & Compensation
Base salary range: $224,000 – $356,500 USD
Equity and benefits available
Application Deadline Applications will be accepted until November 4, 2025.
EEO Statement NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate 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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What You Will Be Doing
Develop software systems to support large‑scale deployments of cloud infrastructure
Design, develop and distribute APIs to support Infrastructure as Code (IaC) automation and deployment workflows
Contribute to multiple source code projects, ensuring alignment with NVIDIA requirements and delivering high‑quality software services
Collaborate with engineering managers, architects, designers and frontend engineers to deliver scalable solutions
Automate the validation of software solutions with unit and integration tests
Partner with other engineers on proposed designs and product direction
Share successes and failures openly in a no‑blame environment
What We Need To See
BS in Computer Science, Information Systems, Computer Engineering (or equivalent) with at least 12 years of experience
5–7 years of proven experience in large‑scale software development
Experience building and delivering services on Kubernetes
Proficiency with cloud‑native infrastructure (AWS, GCP, Azure, OCI)
Collaborated with teams to write software to support cloud services at scale
Ability to troubleshoot issues across multiple layers: infrastructure, Kubernetes, application runtime
Strong proficiency in Golang for building Kubernetes operators, controllers, and custom tooling
Experience designing and managing Kubernetes Custom Resource Definitions (CRDs)
Knowledge of managed Kubernetes services and scaling strategies across cloud and on‑prem environments
Experience developing auto‑scaling infrastructure components and incident response/root cause analysis
Ways To Stand Out From The Crowd
Experience with Kubernetes Cluster API, Terraform, CSP API and other infrastructure tooling
Background with contributing to open‑source projects
Solid experience with Kustomize or other Kubernetes packaging tools
Capable of refactoring software to run in systems such as Kubernetes
Ability to discuss and work with CSI, CNI, and CRI as well as familiarity with CNCF and ecosystem tooling
Benefits & Compensation
Base salary range: $224,000 – $356,500 USD
Equity and benefits available
Application Deadline Applications will be accepted until November 4, 2025.
EEO Statement NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate 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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