Developer Relations Manager, CAE Higher Education and Research

About the role

Inform NVIDIA's strategy for engaging CAE developers in higher education and research by working with cross-functional teams: Product, Engineering, Marketing, Applied Research, etc.

Lead strategic relationships with key opinion leaders, top developers and ISVs, and influential researchers across the CAE higher education / research ecosystem.

Discover high-impact problems NVIDIA can uniquely solve that create new market paradigms.

Drive early adoption of new products and support launch and go-to-market activities.

Host developer and customer evangelism events: meetups, hackathons, lectures.

Speak at relevant scientific, technical and industry conferences.

Responsibilities

• Inform NVIDIA's strategy for engaging CAE developers in higher education and research by working with cross-functional teams: Product, Engineering, Marketing, Applied Research, etc.
• Lead strategic relationships with key opinion leaders, top developers and ISVs, and influential researchers across the CAE higher education / research ecosystem.
• Discover high-impact problems NVIDIA can uniquely solve that create new market paradigms.
• Drive early adoption of new products and support launch and go-to-market activities.
• Host developer and customer evangelism events: meetups, hackathons, lectures.
• Speak at relevant scientific, technical and industry conferences.

Requirements

• MS/PhD in Computer Science or Engineering or equivalent experience.
• 12+ years of experience in a major technology company or research organization developing innovative applied research for engineering simulation.
• 6+ years of experience in one or more of higher education for CAE, university administration, research lab management and leadership.
• Experience managing technical and business alliances across multiple partner groups and the peer team(s).
• Proven understanding of CAE or EDA technologies and ecosystem.
• World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.

Qualifications

• Experience with NVIDIA products and SDKs (CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse).
• Hands-on experience in CAE, high-performance computing environments, applied machine learning, or deep learning.
• Background in software development.

Skills

• Self-starter with a proven track record of success in a fast-paced, dynamic environment.
• Strong interpersonal and communication skills.
• Ability to build and maintain strong relationships with key stakeholders.
• Excellent problem-solving and analytical skills.
• Ability to manage multiple projects simultaneously.

Benefits

Competitive salaries and a generous benefits package.

We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.

With a commitment to diversity and inclusion, we are proud to be an equal opportunity employer.

Pay

Base salary range: 224,000 USD - 356,500 USD.

Schedule

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.