---
title: Developer Relations Manager, CAE at NVIDIA
description: NVIDIA is hiring for the Developer Relations Manager, CAE role in Santa Clara,
  CA. Full-time role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/developer-relations-manager-cae-at-nvidia-01a0b0d2-e2d7-775a-bd30-956f1c7e979f
date: 2026-11-15T01:26:44Z
og_description: Join NVIDIA as Developer Relations Manager, CAE in Santa Clara, CA. Pays $152K–$241.5K
  per year. Full-time role.
og_image: https://www.foundrole.com/og/2ugqno.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) |
| **Location** | Santa Clara, CA |
| **Salary** | $152K/yr - $241.5K/yr |
| **Posted** | Sep 29, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** NVIDIA sponsors H-1B visas. It filed 3,120 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for NVIDIA.

## Pay for similar jobs

Most similar jobs pay $192,000 – $290,000 a year (median $236,000).

## Description

We're hiring a Developer Relations Manager to lead strategic engagement across developer ecosystems in rapidly evolving technology domains. In this role, you’ll help develop how NVIDIA partners with software providers, developers, and industry teams to expand the use of our AI and computing platforms. We're looking for someone with strong architectural depth who can guide partner product direction and support developers building on NVIDIA technologies. If you're passionate about influencing the next wave of AI and accelerated computing, we'd love to hear from you.

**What You'll Be Doing:**

- Build and deepen technical expertise in computer-aided engineering (CAE), serving as a technical advocate and trusted resource for developers in industrial engineering, with cross-functional partners to drive adoption of NVIDIA technologies.

- Demonstrate and integrate NVIDIA’s software stack (tools, SDKs, libraries, NIMs, and blueprints) into real-world partner or developer projects to accelerate adoption.

- Support developers and partners through onboarding and integration by providing code samples, guides, demo pipelines, and hands-on assistance that enable CAE-specific use cases.

- Research and monitor developer ecosystem trends to identify opportunities for growth, sharing insights with engineering, product, and marketing teams to improve adoption strategies.

- Collaborate with partner technical leaders and internal engineering stakeholders to troubleshoot challenges, guide best-practice integrations, and feed technical takeaways back to NVIDIA teams.

**What We Need to See:**

- Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.

- 5-8+ years of overall professional experience in software engineering, developer relations, technical partnerships, solutions architect, product management, including hands-on experience crafting and/or deploying software tools for CAE.

- Experience working with or supporting developer programs, technical ecosystems, or CAE ISVs, or within relevant verticals.

- Proficiency in developing CAE workflows, software tools for physical simulation**,** and familiarity with modern software frameworks or SDKs.

- Comfort collaborating with cross-functional teams to discuss architecture, share feedback, and deliver technical presentations or demos.

- Ability to manage and implement technical projects, solve integration challenges, and effectively communicate complex ideas to both technical and non-technical audiences.

- Strong communication skills and a passion for helping developers innovate with NVIDIA tools and technology.

**Ways to Stand Out from the Crowd:**

- Experience creating or optimizing vertical-specific technical solutions i.e. simulation tools, virtual twins, and/or solutions for CAE, high-performance computing, applied machine learning, or deep learning.

- Hands-on familiarity with NVIDIA platforms and frameworks: CUDA-X Libraries, PhysicsNeMo, Omniverse, NeMo, etc.

- Demonstrated involvement in growing developer communities and supporting technical enablement programs.

- Skilled in developing systems and tools to measure developer sentiment and track market trends, turning ecosystem insights into practical recommendations that guide product direction and strategic planning.

- Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models.

With competitive salaries and a generous benefits package, we are widely considered to be one of the 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 best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:  
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until November 3, 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.
## Skills

- Product Management
- Onboarding
- Deep Learning
- Computer-Aided Engineering (Cae)
- Solution Architecture
- Artificial Intelligence
- CNC Turning
- Strategic Planning
- Independent Software Vendor (Isv) Partnerships
- Simulations
- Software Development Kit (Sdk)
- NVIDIA CUDA
- Computer Science
- Simulation Software
- Developer Relations
- Communication
- Machine Learning
- Change Management
- Blueprinting
- Market Analysis

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