Senior Systems Software Engineer, Containers and Kubernetes

NVIDIA AI; Seattle (WA); Sur place; USD 180 000 - 260 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Résumé du poste

NVIDIA AI is seeking a highly experienced platform software engineer to build GPU-first runtimes and Kubernetes-based solutions. You will work across distributed systems, contribute to kernel- and user-space components, and optimize integration with the broader NVIDIA stack.

The role demands 8+ years in systems programming, deep Linux/Kubernetes knowledge, and strong Go or C skills. This position is on-site in Seattle, with collaboration across global NVIDIA teams.

Qualifications

• Requires a BS/MS in Computer Science or related field with 8+ years in systems programming and distributed systems.
• Expert knowledge of Go or C and deep understanding of Kubernetes and Linux internals.

Responsabilités

• Develop platform software based on open-source container runtimes and Kubernetes to enable GPUs as first-class resources.
• Collaborate with cross-functional engineering teams to integrate software across the NVIDIA stack.

Connaissances

Go

C

Kubernetes

Container Runtimes

Distributed Systems

Linux Operating System

Cloud Computing

Data Structures

Algorithms

K8s Operator Framework

Container Device Interface

Dynamic Resource Allocation

Systems Programming

CNCF

GPU Acceleration

Software Design

Formation

BS/MS in Computer Science or related field

Outils

K8s Operator Framework

Container Runtimes

Kubernetes

GPU Acceleration

CNCF

Description du poste

Develop platform software based on open-source container runtimes and Kubernetes to enable GPUs as first-class resources. Collaborate with cross-functional engineering teams to integrate software seamlessly across the NVIDIA stack.

Requirements:

Requires a BS/MS in Computer Science or related field with over 8 years of experience in systems programming and distributed systems. Expert knowledge of Go or C and deep understanding of Kubernetes and Linux internals are essential.

Key Skills:

• Go
• C
• Kubernetes
• Container Runtimes
• Distributed Systems
• Linux Operating System
• Cloud Computing
• Data Structures
• Algorithms
• K8s Operator Framework
• Container Device Interface
• Dynamic Resource Allocation
• Systems Programming
• CNCF
• GPU Acceleration
• Software Design

Benefits:

• Equity, Benefits