Senior Software Engineer - DGX Cloud

NVIDIA Corporation; Seattle (WA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Seattle seeks a senior systems software engineer to simplify deployment and monitoring of GPU/DPU accelerated apps in cloud-native environments. You will enable GPUs/DPUs as first-class resources in Kubernetes, automate builds and releases, and collaborate across NVIDIA to deliver robust distributed systems.

Required are 5+ years in systems programming with Go, Kubernetes, and Unix/Linux internals, plus automation with Ansible and Terraform.

Qualifications

• BS/MS in Computer Science or related field (or equivalent experience).
• 5+ years of relevant work experience.
• Expert-level knowledge in systems programming languages (Go) with data structures & algorithms.
• Strong Kubernetes and container technology experience.
• Experience with Unix/Linux kernel internals and automation with Ansible/Terraform.

Responsibilities

• Be part of a small, dynamic team exploring ways to simplify deployment, monitoring, and orchestration of GPU/ DPU accelerated apps.
• Enable GPUs/ DPUs as first-class resources in Kubernetes and cloud-native ecosystems.
• Collaborate with NVIDIA engineers to ensure seamless integration of software across distributed systems.
• Automate build, test, integration, and release processes for cloud-native applications.
• Multitask effectively across projects, adapting to evolving priorities.

Skills

Go

Kubernetes

Linux kernel

Ansible

Terraform

CI/CD

Cloud computing

Distributed systems

Data structures

Observability

Education

BS/MS in Computer Science or related field

Tools

Gitlab

Argo

Flux

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. 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 your best work. Come join the team and see how you can make a lasting impact on the world.

What you will be doing:

• Be part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.
• Enable GPUs and DPUs as first-class resources in container orchestrators such as Kubernetes.
• Join the core group working on Cloud Native technologies, improving NVIDIA accelerators in the Kubernetes environment.
• Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software.
• Automate and optimize build, test, integration, and release processes for cloud-native applications.
• Efficiently multitask across different projects, addressing evolving priorities effectively.

What we need to see:

• BS/MS in Computer Science or related field (or equivalent experience).
• 5+ years of relevant work experience.
• Expert-level knowledge in systems programming languages (e.g. Go) with a solid grasp of Data Structures and Algorithms.
• Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technology.
• In-depth knowledge and experience with Unix/Unix-like kernel internals, particularly Linux.
• Hands-on automation experience with frameworks like Ansible and Terraform and proven experience in setting up, maintaining, and automating continuous integration systems.
• Strong background in Cloud Computing and Distributed Software design and development.
• Understanding of performance, security, and reliability in complex distributed systems.

Ways to stand out from the crowd:

• Extensive experience with observability/telemetry.
• Strong background with Gitlab, Argo, Flux, and other CI/CD systems.
• Significant hands-on experience with Containers and Kubernetes.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 5, 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.