Developer Relations Manager, CAE
$152,000–$241,500 year
RemoteCalifornia, United States or Santa Clara, California, United States
Job Summary
Build and deepen technical expertise in computer-aided engineering (CAE) by serving as a trusted resource for developers in industrial engineering. Demonstrate and integrate NVIDIA's software stack into real-world partner projects to accelerate adoption, while supporting onboarding through code samples, guides, and hands-on assistance. Research ecosystem trends to identify growth opportunities and collaborate with internal stakeholders to troubleshoot challenges and guide best-practice integrations. Manage technical projects, solve integration challenges, and communicate complex ideas to both technical and non-technical audiences. This role requires a strong architectural depth to influence the next wave of AI and accelerated computing within NVIDIA's rapidly growing engineering teams.
Required Qualifications
- 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
- 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
- passion for helping developers innovate with NVIDIA tools and technology
Desired Qualifications
- 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
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