Senior Product Dev Rel Engineer - DSX

NVIDIA•Santa Clara, CA

10d•$224,000 - $431,250•Hybrid

About The Position

As a Senior Product Developer Relations Engineer for NVIDIA’s Data Science & AI System Software platform (DSX), you will advance the developer experience and bridge external AI developers, cloud infrastructure builders, and internal DSX software and platform engineering teams. The role focuses on improving the usability, performance, and developer ergonomics of NVIDIA’s deep learning software stack, container runtimes, system orchestration, and AI platform tooling. You will help enterprise developers and researchers build and deploy AI applications on NVIDIA infrastructure.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
12+ years of experience in Developer Relations, Systems Engineering, Technical Product Management, or Solutions Architecture, with a focus on enterprise AI infrastructure, cloud platforms, or developer platforms.
Deep technical foundation in Linux systems, Python, C++, GPU acceleration, container orchestration such as Kubernetes and Docker, and modern AI framework stacks such as PyTorch and CUDA.
Experience guiding platform software and engineering priorities through developer research, infrastructure troubleshooting, and product feedback loops.
Hands-on experience building, deploying, or optimizing enterprise data science environments, containerized AI workloads, or distributed deep learning pipelines.
Strong cross-functional leadership and communication skills, including influencing product managers, core software engineers, and external technical leaders without direct authority.

Nice To Haves

Direct experience with NVIDIA DSX, DGX systems, DGX Cloud, CUDA-X, or related NVIDIA deep learning system software stacks.
Track record of open-source contributions or maintainer roles in cloud-native or AI infrastructure projects such as Kubernetes, Kubeflow, Ray, vLLM, or Triton.
Deep understanding of enterprise AI cluster operations, multi-node GPU scaling, telemetry and observability tools, and high-performance interconnects such as InfiniBand and NVLink.
Experience building or expanding a Product DevRel or Developer Experience function within a cloud infrastructure or enterprise platform organization.

Responsibilities

Collect and synthesize technical feedback, system-level friction, and workflow requirements from AI practitioners, enterprise data platform teams, and open-source communities, and convey them to DSX Product Management and Core Engineering roadmaps.
Architect and publish technical assets, including production-grade deployment guides, containerized workflows, reference architectures, and end-to-end DSX benchmarks demonstrating performance across NVIDIA GPU clusters.
Collaborate with DSX Engineering, DGX Cloud, Solution Architecture, and Developer Marketing to steer early-access programs and validate DSX software stack releases against real-world AI workloads before production launches.
Conduct 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.
Define measurements for developer engagement that track system software usability, setup ergonomics, driver/runtime integration, documentation clarity, and time to first training run.
Represent NVIDIA DSX as a technical authority at AI, cloud-native, and developer conferences, building feedback loops that increase platform velocity and developer trust.