Senior Systems Software Engineer, Containers and Kubernetes

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

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AI Algorithms @ 7 Cloud Computing @ 7 Communication @ 7 Data Structures @ 7 Distributed Systems @ 7 GPU Go @ 7 Kubernetes @ 7 Linux @ 4 Security @ 4

Details

NVIDIA is looking for a hardworking Senior Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. The role requires strong programming skills, deep understanding of software design and development—especially Go and Kubernetes—experience with systems software and distributed systems, and excellent communication and planning skills. NVIDIA welcomes out-of-the-box problem solvers who can provide new ideas while completing tasks effectively.

Responsibilities

Explore innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor.
Enable GPUs as first-class resources in container orchestrators such as Kubernetes.
Work on cloud-native technologies that enable NVIDIA accelerators in Kubernetes environments.
Collaborate with engineering teams across NVIDIA to ensure software integrates seamlessly throughout the stack.
Multitask across different workstreams to address evolving priorities efficiently.

Requirements

Bachelor's or master's degree in Computer Science or a related field, or equivalent experience.
At least 8 years of relevant work experience.
Expert-level knowledge of a systems programming language such as Go or C.
Strong understanding of data structures and algorithms.
Strong understanding of container orchestration systems, including Kubernetes, and container technology.
Knowledge of and experience with Linux operating system internals.
Strong background in cloud computing and distributed software design and development.
Understanding of performance, security, and reliability in complex distributed systems.

Preferred Qualifications

Strong experience with Go, containers, and Kubernetes.
Recent active participation and consistent technical contributions to CNCF and Kubernetes SIG projects.
Experience with the Kubernetes Operator framework, Container Device Interface (CDI), and Dynamic Resource Allocation (DRA).

Benefits

Eligibility for equity and benefits.
NVIDIA is an equal opportunity employer committed to an inclusive and diverse work environment.

Applications for this job will be accepted at least until September 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.