Developer Relations Manager, Computer Aided Engineering

Posted Yesterday
Be an Early Applicant
4 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead developer enablement and strategic partnerships for CAE, driving NVIDIA platform adoption through technical collaborations, developer support, product strategy input, go-to-market activities, and academic/industry engagement.
Summary Generated by Built In

At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for passionate technologists with a background in crafting and/or deploying software tools for CAE to engage CAE developers, ISVs, and GSIs. In this enablement role, you will drive NVIDIA platform adoption by nurturing strategic partnerships, leading fruitful technical collaborations, providing first-line technical expertise and developer support, and guiding NVIDIA's product strategy as a representative of ISV and open-source developers in the CAE community.

The Industrial Engineering organization is a strong, growing, and visible group both inside and outside of NVIDIA in this exciting area to drive strategy. We are looking for a self-starting leader to continue to grow this area. Do you thrive on technical engagement? Do you have the rare blend of both technical and relationship skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you!

What you'll be doing:

  • Create fruitful technical engagements with ISVs across the engineering design and manufacturing ecosystem and lead strategic relationships with key opinion leaders, top developers, and influential researchers.

  • Inform NVIDIA's product strategy for CAE workflow acceleration by working with diverse teams including Product, Engineering, Marketing, Applied Research, etc.

  • Use your technical expertise to 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.

  • Activate relationships with higher education and research and speak at relevant scientific, technical and industry conferences.

What We Need To See:

  • 8+ years of experience developing (or working with developers of) software tools for CAE practitioners, preferably with a CAE ISV such as Altair, Ansys, Cadence, Dassault, Hexagon, Siemens, Synopsys, etc.

  • A track record of defining and delivering impactful technical engagements, managing technical and business alliances across multiple partner groups, and working with peer teams to achieve objectives.

  • World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.

  • MS/PhD in Computer Science or Engineering or equivalent experience.

Ways To Stand Out From The Crowd:

  • Developer experience creating simulation tools, virtual twins, and/or solutions for CAE, high-performance computing, applied machine learning, or deep learning.

  • Experience working closely with product management and business development to define product and go-to-market strategy.

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

  • Experience with NVIDIA products and SDKs: CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse, etc.

With competitive salaries and a generous benefits package, we are 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 unprecedented growth, our exclusive 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.

Skills Required

  • 8+ years experience developing or working with developers of software tools for CAE practitioners (experience with CAE ISVs such as Altair, Ansys, Cadence, Dassault, Hexagon, Siemens, Synopsys preferred)
  • Proven track record defining and delivering impactful technical engagements and managing technical/business alliances across multiple partner groups
  • World-class communication skills with ability to articulate value propositions to technical and non-technical audiences
  • MS or PhD in Computer Science or Engineering or equivalent experience
  • Developer experience creating simulation tools, virtual twins, or solutions for CAE, HPC, applied ML, or deep learning
  • Experience working closely with product management and business development to define product and go-to-market strategy
  • Experience with AI physics models including developing, training, and deploying models
  • Experience with NVIDIA products and SDKs such as CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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