Senior Systems Engineer - Kubernetes, Rust & Go

NVIDIA Corporation; Massachusetts; On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a Sr. Systems Software Engineer to advance platform software built on open-source container runtimes and Kubernetes. You will design and implement robust systems in Go and Rust, focusing on performance and reliability in distributed environments.

You will help enable GPUs as first-class resources in container orchestrators like Kubernetes, collaborate across NVIDIA teams, and drive integration from kernel internals to cloud-native tooling. Equity and benefits accompany the role.

Qualifications

• BS/MS in Computer Science or related field (or equivalent experience).
• 8+ years of relevant work experience.
• Expert knowledge in Go and Rust; strong OS and distributed systems understanding.

Responsibilities

• Part of a small dynamic team exploring ways to make GPU-accelerated apps easier to develop, deploy, and monitor.
• Enable GPUs as first-class resources in container orchestrators such as Kubernetes.
• Join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the Kubernetes environment.
• Collaborate with engineering teams across NVIDIA to ensure seamless integration across the stack.
• Multitask effectively to address evolving priorities.

Skills

Go

Rust

Kubernetes

Distributed systems

Unix/Linux internals

Data structures & algorithms

Cloud computing

Container technology

Education

BS in Computer Science or related field

MS in Computer Science or related field

Tools

Kata Containers

Container sandboxing

Job description

NVIDIA seeks a Sr. Systems Software Engineer to advance platform software built on open-source container runtimes and Kubernetes. You will design and implement robust systems in Go and Rust, focusing on performance and reliability in distributed environments.

You will help enable GPUs as first-class resources in container orchestrators like Kubernetes, collaborate across NVIDIA teams, and drive integration from kernel internals to cloud-native tooling. Equity and benefits accompany the role.