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. Become part of NVIDIA’s groundbreaking efforts to transform computer graphics, PC gaming, and accelerated computing. 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!
What you'll be doing:
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).
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.
Ways to stand out from the crowd:
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.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you consider your future, explore what we provide for you and your family at www.nvidiabenefits.com/
#Hybrid-LI
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, a related technical field, or equivalent experience
- 12+ years of experience in Developer Relations, Systems Engineering, Technical Product Management, or Solutions Architecture
- Experience with enterprise AI infrastructure, cloud platforms, or developer platforms
- Deep technical knowledge of Linux systems, Python, C++, GPU acceleration, Kubernetes, Docker, 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 technical stakeholders without direct authority
- Direct experience with NVIDIA DSX, DGX systems, DGX Cloud, CUDA-X, or related NVIDIA deep learning system software stacks
- Open-source contributions or maintainer experience in cloud-native or AI infrastructure projects such as Kubernetes, Kubeflow, Ray, vLLM, or Triton
- Knowledge of enterprise AI cluster operations, multi-node GPU scaling, telemetry and observability tools, InfiniBand, or NVLink
- Experience building or expanding a Product Developer Relations or Developer Experience function
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
