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Senior Product Dev Rel Engineer - DSX

NVIDIA

US, CA, Santa Clara · On-site · relocation$18,667–35,938 gross/mofull-timeNVIDIA Careers (offices abroad)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Responsibilities

  • Driving developer-centric product improvements for DSX by collecting and synthesizing technical feedback, system-level friction, and workflow requirements from AI practitioners, enterprise data platform teams, and open-source communities into DSX Product Management and Core Engineering roadmaps.
  • Architecting and publishing high-impact technical assets, including production-grade deployment guides, containerized workflows, reference architectures, and end-to-end DSX benchmarks showcasing efficient performance across NVIDIA GPU clusters.
  • Collaborating across departments including DSX Engineering, DGX Cloud, Solution Architecture, and Developer Marketing to steer early-access (EA) programs and validate core DSX software stack releases against real-world AI workloads prior to production launches.
  • Conducting technical deep-dives and system architecture reviews with strategic ISV partners, enterprise AI engineering teams, and cloud platform providers to remove friction and accelerate adoption of DSX components.
  • Defining measurements for developer engagement within DSX that track system software usability, setup ergonomics, driver/runtime integration, documentation clarity, and time-to-first-training run.
  • Representing NVIDIA DSX as a technical authority at major AI, cloud-native, and developer conferences, building strong feedback loops that increase platform velocity and developer trust.
  • What we need to see
  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
  • 12+ years of proven experience in Developer Relations, Systems Engineering, Technical Product Management, or Solutions Architecture passionate about enterprise AI infrastructure, cloud platforms, or developer platforms.
  • Deep technical foundation in Linux systems, Python, C++, GPU acceleration, container orchestration (e.g., Kubernetes, Docker), and modern AI framework stacks (e.g., PyTorch, CUDA).

Languages

    Work format
    On-site
    Seniority
    Senior
    Posted
    19 Aug 2026
    Last verified
    In the last 5 days

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