Description
As a Senior Staff Product Developer Relations Engineer - DSX, you will advance the developer experience across NVIDIA's Data Science & AI System Software platform (DSX).
In this high-impact role, you will bridge the gap between external AI developers, cloud infrastructure builders, and internal DSX software and platform engineering teams.
You will play a vital role in crafting the usability, performance, and developer ergonomics of our deep learning software stack, container runtimes, system orchestration, and AI platform tooling.
Join a team where your technical leadership will directly accelerate how enterprise developers and researchers build and deploy AI applications on NVIDIA infrastructure!
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.
Requirements
- 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).
- Established experience in guiding platform software and engineering priorities through detailed 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, with a demonstrated history of influencing product managers, core software engineers, and external technical leaders without direct authority.
Nice to Have
- Direct experience with NVIDIA DSX, DGX systems, DGX Cloud, CUDA-X, or related NVIDIA deep learning system software stacks.
- Proven track record of open-source contributions or maintainer roles in the cloud-native or AI infrastructure space (e.g., Kubernetes, Kubeflow, Ray, vLLM, Triton).
- Deep understanding of enterprise AI cluster operations, multi-node GPU scaling, telemetry/observability tools, and high-performance interconnects (e.g., InfiniBand, NVLink).
- Experience building or expanding a Product DevRel or Developer Experience (DX) function within a cloud infrastructure or enterprise platform organization.
Benefits
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.