Senior Technical Marketing Engineer - DSX AI Infrastructure Software

NVIDIA
Santa Clara
Workplace: HybridFull timeUSD 160,000 - 322,000 annuallyFunction: Marketing & GrowthEducation: bachelorsSkills: ["Written communication","Verbal communication","Visual communication","Cross-functional collaboration","Prioritization"]

Stand up and validate DSX-aligned software stacks on multi-node GPU systems, capturing dependencies, validation steps, and operational handoffs. Turn deployments into technical content like reference architectures, guides, runbooks, code examples, and demos. Build reusable automation and demos using APIs, Python/shell, infrastructure-as-code, containers, Kubernetes, Slurm, Helm, GitOps, and CI/CD. Support partners and pre-release testing with training and feedback before customer rollout.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Technical Marketing Engineer - DSX AI Infrastructure Software

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Stand up and validate DSX-aligned software stacks on multi-node GPU systems, capturing dependencies, validation steps, and operational handoffs. Turn deployments into technical content like reference architectures, guides, runbooks, code examples, and demos. Build reusable automation and demos using APIs, Python/shell, infrastructure-as-code, containers, Kubernetes, Slurm, Helm, GitOps, and CI/CD. Support partners and pre-release testing with training and feedback before customer rollout.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Marketing & Growth
Seniority: Mid level

Key Responsibilities

  • •Stand up and validate complete DSX-aligned software stacks on multi-node GPU systems, documenting dependencies, configuration order, validation steps, and operational handoffs.
  • •Create technical assets from deployments, including reference architectures, quick-starts, installation/upgrade guides, troubleshooting runbooks, code examples, blogs/whitepapers, and demo videos.
  • •Build reusable examples and automation using APIs, Python or shell scripting, infrastructure-as-code, containers, Kubernetes, Slurm, Helm, GitOps, and CI/CD.
  • •Develop demos, labs, and training for operating an AI factory, covering deployment, tenant setup, upgrades, monitoring, scheduling, fault isolation/remediation, capacity management, and security.
  • •Test pre-release software with training/inference workloads, identify interoperability and resiliency issues, and gather feedback to improve product readiness; support partners via repeatable assets and live demos.
Travel: Low travel

Pay and Benefits

Salary: USD 160,000 - 322,000 annually
Equity and Bonus:Equity

Key Requirements

  • •BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
  • •8+ years of experience in infrastructure engineering, systems engineering, solutions architecture, software engineering, technical marketing engineering, site reliability engineering, or a related role.
  • •Hands-on experience deploying and operating Linux-based data center, cloud, HPC, or AI infrastructure, including multi-node GPU systems and production operational practices.
  • •Strong working knowledge of Kubernetes and/or Slurm, including containers, operators, Helm charts, cluster lifecycle, and workload scheduling.
  • •Experience across core infrastructure domains such as provisioning, compute, networking (Ethernet/InfiniBand), storage, identity, multi-tenancy, secrets/certificate management, and observability.
Education:Bachelor's
Skills:Written communicationVerbal communicationVisual communicationCross-functional collaborationPrioritization
Tech Stack:LinuxPythonShell scriptingAPIsInfrastructure-as-codeContainersKubernetesSlurmHelmGitOpsCI/CDObservabilityTelemetryEthernetInfiniBandStorageIdentityCertificate managementMulti-node GPU systemsCluster orchestration

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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