Manager, Software Engineering – DGX Cloud

NVIDIA

Engineering manager leading teams that build NVIDIA’s Kubernetes-based DGX Cloud GPU platform. Partnering across organizations to deliver distributed cloud infrastructure for AI workloads.

Posted 9/2/2026full-timeRemote • California, Texas, Washington • 🇺🇸 United StatesSeniorLead💰 $224,000 - $431,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading software engineering teams and developing cloud-based solutions using NVIDIA technologies and Kubernetes. Proficient in designing distributed software systems and crafting maintainable APIs while effectively communicating with cross-functional teams.

Highest-signal resume keywords

Team LeadershipDistributed Software Systems DesignKubernetes ExperienceMainstream Systems Programming LanguagesCloud Platform Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GolangJavaCC++RustAPI DevelopmentLinux Kernel UnderstandingContainer OrchestrationDevOps ToolingDistributed Task Scheduling

Soft Skills

Effective Presentation SkillsInterpersonal SkillsOrganizational SkillsProblem-SolvingMentoring

Tools & Technologies

KubernetesNVIDIA TechnologiesDockerContainerdCRI-O

Certifications & Qualifications

BS/MS Degree in Computer Science

Industry Keywords

Cloud-Based SolutionsHyperscale Cloud Service ProviderOperational ExcellenceIdentity and Access ManagementAutonomous Vehicles

Tech Stack

Tools & technologies

C++CloudDockerGoJavaKubernetesLinuxRust

About the role

Key responsibilities & impact

Partner with multiple internal teams to gather requirements, provide feedback to engineering teams, and develop solutions to aid in their success
Develop, guide, and supervise a team of engineers
Educate partner teams on standard methodologies for cloud-based solutions
Gain a deep understanding of how NVIDIA develops across multiple verticals, including autonomous vehicles, chip manufacturing, hardware design, and AI
Present to internal partners and NVIDIA leadership on roadmaps, vision, and demos
Participate in open-source communities of software NVIDIA uses and builds
Manage a software engineering team for the NVIDIA DGX Cloud Kubernetes organization, supporting internal and external clients
Help build and operate a GPU cloud platform using NVIDIA technologies and Kubernetes

Requirements

What you’ll need

BS/MS degree in Computer Science or related areas (or equivalent experience)
10+ overall years of experience in designing and building distributed software systems
4+ years of experience in leading a team of engineers with varying talents across organizations
Strong ability to write code in mainstream systems programming languages such as Golang, Java, C, C++, or Rust
Demonstrated ability to craft and implement maintainable APIs for consumers
Experience with Kubernetes and/or distributed task scheduling
Understanding of underlying Linux Kernel scheduling, memory management, and networking subsystems
Understanding of infrastructure, networking, storage, and DevOps scripting/tooling
Container orchestration experience (containerd, CRI-O, Docker)
Familiarity with Identity and Access Management approaches
Ability to reach cross-functional consensus while dealing with ambiguity
Experience in a Hyperscale Cloud Service Provider (public-facing or not)
Experience in measuring and improving operational excellence
Experienced, persuasive, and effective presentation skills (written and verbal)
Demonstrated skills in leadership, communication, mentoring, analysis, problem-solving, and short/long-term planning
Excellent interpersonal and organizational skills and the ability to handle diverse situations

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package
Equity
Benefits for you and your family