NVIDIA
Developer Relations Manager, CAE
$152K–$288K
US, CA, Santa Clara +1 · Manager · Full-time · Posted Sep 29, 2026
- Location
- US, CA, Santa Clara
US, CA, Remote - Experience
- 5-8+ years of overall professional experience in software engineering, developer relations, technical partnerships, solutions architecture, or product management, including hands-on experience crafting and/or deploying software tools for CAE.
- Education
- Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
About the job
Leads technical engagement with CAE developers and partners, integrating NVIDIA software and supporting adoption of NVIDIA AI and computing platforms.
What you'll do
- Build CAE expertise and advocate for NVIDIA technologies across industrial engineering developer ecosystems.
- Demonstrate and integrate NVIDIA software, and provide onboarding support such as code samples, guides, demos, and hands-on assistance.
- Track ecosystem trends, collaborate with partners and internal teams on integrations, and share insights to improve adoption and product direction.
What they ask for
- Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
- Experience supporting developer programs, technical ecosystems, CAE ISVs, or relevant verticals.
- Proficiency developing CAE workflows and physical simulation software tools; familiarity with modern software frameworks or SDKs.
- Ability to manage technical projects, solve integration challenges, collaborate across teams, and communicate technical concepts.
Nice to have
- Experience creating or optimizing solutions for simulation, virtual twins, CAE, high-performance computing, applied machine learning, or deep learning.
- Hands-on familiarity with NVIDIA platforms and frameworks, developer community growth, ecosystem measurement, or AI physics models.
Pay
152,000 USD - 241,500 USD (base salary); 184,000 USD - 287,500 USD (base salary)
Tools
NVIDIA software stack, tools, SDKs, libraries, NIMs, blueprints, CUDA-X Libraries, PhysicsNeMo
AI focus
Supports adoption of NVIDIA AI technologies in CAE and industrial engineering; preferred experience includes AI physics models and developing, defining, training, and deploying open or proprietary models.
Model-written summary · the original posting is authoritative