NVIDIA

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

nvidia.com

NVIDIA

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

nvidia.com

HQRemote

Team Size42295

Open Jobs992

Total Funding-

Latest Fundraise3 years ago

TL;DR

Founded: 1993

Headcount (approx.): 42,295

Core focus: GPUs, AI computing platforms, systems, and software

Notable software: CUDA, Omniverse

Company Overview

Problem Domain

High-performance computing, AI infrastructure, graphics rendering, networking for data centers, and industrial/autonomous systems.

Founded

1993

Industry

Semiconductors / AI compute / Software platforms

Tech Stack

GPUs (GeForce, Blackwell/GB200 families)

CPU/SoC (Grace Blackwell)

CUDA (parallel-computing platform)

Omniverse

NVIDIA RTX (real-time ray tracing)

DRIVE/Isaac (automotive/robotics stacks)

Networking and DPU products

Funding Track Record

Strategic investments- 2026-01-26

$2 billion

Investment in CoreWeave to expand AI compute capacity.

Strategic investment / equity purchase- 2025-09-18

$5 billion

Purchase of an equity stake in Intel as part of a collaboration.

Strategic investment- 2025-10-30

$500 million - $1 billion (reported)

Reported investment in Poolside as part of a larger funding round.

Founders

What we do

Join the Team

Developer Relations Manager - Omniverse

On-SiteSanta Clara, US

On-Site • Santa Clara, US

NVIDIA is seeking a highly technical Developer Relations Manager to drive adoption of Omniverse and physical AI simulation libraries and AI models across our software partner ecosystem. The collaborations will span across multiple vertical market segments. Successful candidates will be highly technical, able to move and adapt quickly to changing needs, guide architecture and implementation plans with product and engineering teams, engage at all executive levels both inside NVIDIA and with partners across multiple partners.

What you’ll be doing:

Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.
Develop and maintain deep technical expertise in NVIDIA Omniverse and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures.
Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, achievements, and delivery plans. Give sample code, architecture diagrams, and direct engineering support to overcome technical challenges.
Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption and effective use of Omniverse.
Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for standard processes, and drive alignment with NVIDIA technical solutions.
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
Support product launches, technical go-to-market activities by providing technical validation, demonstrating integrated solutions, and ensuring perfection in customer- and partner-facing materials.

What we need to see:

A minimum of 5+ years of overall professional experience in the technology industry, including at least 3+ years of direct, hands-on technical experience in software development or engineering.

Ways to stand out from the crowd:

Familiarity and/or experience with NVIDIA libraries and models (CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, Cosmos)
Recent experience developing or integrating technology libraries into industrial, robotics or automation software
Familiarity with AIOps, cloud-native and container orchestration technologies (e.g., Kubernetes, Docker, Kubeflow), along with agentic architectures (e.g., MCP, LangGraph) and observability tools for monitoring complex, autonomous systems.
Track record of influencing sophisticated product decisions through positive relationships while also balancing software partner needs with understanding.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our Dev Rel teams are growing fast. If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 6, 2025.NVIDIA is committed to fostering a diverse 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.

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B.S. in Computer Science, Engineering, or a related technical field (or equivalent experience).

Proven hands-on involvement throughout the full software development lifecycle - including requirements definition, design, implementation, testing, integration, quality assurance, and post-release support.

Experience (as a software engineer or technical product manager) in one or more of the following domains: real-time 3D visualization and simulation, enterprise-scale ISV software development, full-stack application development, AI/machine learning workflows (including ETL, data pipeline development, synthetic data generation, and data preparation), or graphics and GPU accelerated programming.

Significant technical depth in industrial software, robotics and/or automation technologies (e.e., CAE, CAD, PLM, ERP, MES, SCADA, EDA), with direct hands-on contributions to product integrations or software libraries.

Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

Clear communication skills for conveying technical concepts, architecture, and code to audiences ranging from engineers to executives.

Validated ability to structure and implement sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external partners (across sales, legal, product or marketing teams as needed).