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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and automating production infrastructure software, particularly with Go programming, Kubernetes, and GPU cloud integration. Capable of delivering engineering projects while collaborating effectively across teams to resolve complex integration challenges.
Highest-signal resume keywords
Go ProgrammingKubernetes ExperienceProduction Infrastructure SoftwareGPU InfrastructureRelease Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Go ProgrammingKubernetesProduction Infrastructure SoftwareDistributed SystemsController-runtimeCRDsResource AllocationLeasingFair-share SchedulingSoftware Supply Chain Integrity
Soft Skills
CollaborationProblem SolvingProject DeliveryCommunication
Tools & Technologies
HelmArgo CDValidation PipelinesGPU Scheduling
Certifications & Qualifications
BS in Computer ScienceMS in Engineering
Industry Keywords
GPU Cloud InfrastructureIntegration FailuresCloud ProvidersValidation RunsAccelerated Networking
Tech Stack
Tools & technologiesCloudDistributed SystemsKubernetesGo
About the role
Key responsibilities & impact- Build Go controllers and APIs to install, upgrade, and validate GPU cluster software
- Integrate components, define API contracts, and evolve Helm and Argo CD delivery toward controller-driven automation
- Build validation pipelines that inform release decisions across providers and GPU platforms
- Develop systems to allocate GPU capacity across validation runs and account for cloud reservations and quotas
- Improve qualification efficiency through reusable tests and clear failure reports
- Bring new providers and GPU hardware into production
- Resolve integration failures with partner teams
- Turn initial provisioning, upgrade, and operational checks into repeatable automation
- Collaborate across Runtime, Release Engineering, and Provider Integration teams
- Influence what reaches production across NVIDIA's GPU cloud infrastructure
Requirements
What you’ll need- 6+ years building production infrastructure software or distributed systems
- Strong programming skills in Go or another language to build production systems, with willingness to work primarily in Go
- Kubernetes experience and depth in at least one area: controllers and operators, release automation, test and validation systems, or cloud integration
- Experience delivering engineering projects, diagnosing complex failures, and collaborating across teams
- BS or MS in Computer Science, Engineering, or equivalent experience
- Experience with controller-runtime, CRDs, and reconcilers is valuable but not required
- Experience with release qualification across multiple environments or platforms is valuable but not required
- Experience with GPU infrastructure, accelerated networking, or GPU scheduling is valuable but not required
- Experience bringing new hardware, regions, or cloud providers into production is valuable but not required
- Experience with resource allocation, leasing, fair-share scheduling, upstream integration, compatibility, or software supply chain integrity is valuable but not required
Benefits
Comp & perks- Equity
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