Developer Relations Manager, Computer Aided Engineering
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- CUDA
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.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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