You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
NVIDIA

Senior Product Dev Rel Engineer - DSX

  • Hybrid
  • 6+ years

Salary

$224,000 - 356,500/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

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.

Responsibilities

  • Applications for this job will be accepted at least until August 23, 2026.
  • 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.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

NVIDIA

Office in United States

Also hiring in Munich, Germany, France, Bristol, United Kingdom and 13 more places

273 of their 660 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 3 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

2 red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • Kubernetes
  • Docker
  • PyTorch
  • C++
  • Linux
  • CUDA
Seniority
Senior
Type
Full-time
Equity
Equity offered
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Development
Seniority
Senior
Experience
25+ years
Tech stack
  • Python
  • Kubernetes
  • Docker
  • PyTorch
  • C++
  • Linux
  • CUDA

Location

Work model
Hybrid
Region
United States
Office
  • United States
Remote from
  • United States

Compensation

Salary
$224,000 - 356,500 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Staff Software Engineer

    Salary by agreement

    • Remote · Europe, Portugal
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Software Engineer Intern

    Salary by agreement

    • Hybrid · Romania, Berlin
    • Junior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior Software Engineer

    Salary by agreement

    • Remote
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Software Engineer

    Salary by agreement

    • Hybrid · Toronto
    • Junior

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason