Senior Software Engineer, DGX Cloud Production Engineering

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

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

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 4 Communication @ 6 Distributed Systems @ 7 GPU @ 4 Go @ 7 HPC @ 4 Kubernetes @ 4 Leadership @ 6 Networking Python @ 7 Rust @ 7 Technical Leadership @ 6

Details

NVIDIA is seeking a Senior Software Engineer to build the next generation of its Kubernetes platform. The team develops foundational capabilities for self-service GPU infrastructure, managed Kubernetes control planes, cluster operations, and automation for large-scale AI and improved computational environments.

The role operates at the intersection of platform architecture and production-grade Kubernetes lifecycle systems, contributing to the technical strategy and execution of systems that provision, upgrade, operate, and scale clusters across cloud and on-premises environments.

Responsibilities

Collaborate on the architecture and development of core Kubernetes platform capabilities, including cluster management, control plane services, fleet lifecycle, and day-2 operations.
Design and build highly reliable distributed systems and APIs for provisioning, managing, upgrading, and remediating Kubernetes clusters at scale.
Define technical requirements, validation criteria, production-readiness practices, and the direction for declarative workflows and automation across the Kubernetes stack.
Collaborate across engineering teams to create cohesive platform experiences spanning management APIs, lifecycle orchestration, runtime integration, and fleet consistency.
Diagnose and resolve complex platform issues spanning infrastructure, runtime, networking, hardware, and operations.
Improve the scalability, resilience, and operability of systems supporting large-scale AI deployments.

Requirements

BS or MS degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
5+ years of relevant software engineering experience, including experience building and operating large-scale production systems.
Deep expertise in Kubernetes internals, APIs, controllers or operators, and cluster lifecycle management.
Strong background in distributed systems design, reliability, scalability, and failure recovery.
Proven experience building platform software, infrastructure control planes, or foundations for managed services.
Strong programming skills in one or more systems or cloud-native languages, such as Go, Python, Rust, or C++.
Experience designing clear APIs and abstractions for platform consumers and engineering teams.
Demonstrated ability to provide technical leadership across team boundaries and drive ambiguous, cross-functional initiatives to completion.
Excellent communication and collaboration skills, supported by significant technical contributions and recognized expertise influencing department-level architecture and high-priority company initiatives.

Preferred Qualifications

Experience building Kubernetes platforms or managed Kubernetes services.
Experience with fleet management, cluster upgrades, node lifecycle, remediation, or day-2 operations.
Experience with declarative infrastructure, Kubernetes controllers, GitOps, or policy-driven platform automation.
Familiarity with public-cloud and bare-metal infrastructure environments.
Experience supporting AI, GPU, HPC, or other large-scale accelerated computing platforms.

Compensation and Benefits

Base salary range: USD 152,000–241,500 for Level 3.
Base salary range: USD 184,000–287,500 for Level 4.
Compensation is determined based on location, experience, and the pay of employees in similar positions.
Eligible for equity and benefits.
Applications will be accepted at least until August 22, 2026.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.