Senior Product Dev Rel Engineer - DSX - CA, Santa Clara, United States
$224,000 - $431,250 USD yearly
Originally posted 19 August 2026 by the employer.
Advance the developer experience across NVIDIA’s Data Science & AI System Software platform (DSX).
About the role
As a Senior Product Dev Rel Engineer - DSX, you will advance the developer experience across NVIDIA’s Data Science & AI System Software platform (DSX). You will play a vital role in crafting the usability, performance, and developer ergonomics of the deep learning software stack, container runtimes, system orchestration, and AI platform tooling.
What you'll do
- Drive developer-centric product improvements for DSX by collecting and synthesizing technical feedback from AI practitioners, enterprise data platform teams, and open-source communities.
- Architect and publish technical assets, including production-grade deployment guides, containerized workflows, reference architectures, and end-to-end DSX benchmarks.
- Collaborate across departments to steer early-access programs and validate core DSX software stack releases against real-world AI workloads.
- Define measurements for developer engagement within DSX 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 major AI, cloud-native, and developer conferences.
What you'll need
- 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 focused on enterprise AI infrastructure, cloud platforms, or developer platforms.
- Technical foundation in Linux systems, Python, C++, GPU acceleration, container orchestration (e.g., Kubernetes, Docker), and modern AI framework stacks (e.g., PyTorch, CUDA).
- 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.
Skills: developer experience, Data Science & AI System Software platform, deep learning software stack, container runtimes, AI platform tooling
This role has been open 57 days — slightly above the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
974
|
Median days open
51 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (974 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 281 | 974 |
| Open roles in the wider Software, Firmware & Systems family | 991 | 6157 · 145 employers |
| Median days open | 45 d | 51 d (−6 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: developer experience, Data Science & AI System Software platform, deep learning software stack, container runtimes, AI platform tooling
Who's hiring in this category
- NVIDIA (this employer) · 281 open roles · median 46 d
- Qualcomm · 61 open roles · median 55 d
- AMD · 55 open roles · median 22 d
- Graphcore · 44 open roles · median 91 d
- Intel Corporation · 41 open roles · median 10 d
- Cerebras · 39 open roles · median 81 d
How we counted: 974 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 16 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.