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What you’ll be doing:
Additional responsibilities include:
Build relationships with partners (engineering, product management and marketing leads, executives) for inference and training frameworks, kernel and communication libraries. You will be working with leading software companies and developer communities to drive adoption of NVIDIA platforms and solutions
Understand application workflow and architectural requirements to enable GPU-based workload acceleration. Integrate NVIDIA acceleration libraries and runtime into partner's applications while staying alert to the competitive landscape.
Drive technical engagement with partners to support partners’ technology, product and solution development
Collaborate with NVIDIA and partner marketing leads to promote partners’ solutions and showcase use cases NVIDIA enables
Collaborate with product/engineering teams to capture partners requirements and prioritize engagements.
Create strategic partnerships and build community by attending research conferences, hosting technical meetups, and engaging in industry events to showcase NVIDIA GPU-accelerated solutions.
What we need to see:
BS/MS/PhD in Computer Science or Engineering or equivalent experience
8+ Years of working experience in a relevant field
Ability to manage new and existing technical and business alliances across multiple partner groups and the peer NVIDIA team(s)
Proven understanding of AI/ML software ecosystem and GPU acceleration libraries
Excellent communication abilities and collaborative attitude across all major internal functional areas (engineering, sales, marketing, executives) as well as external partners, customers, and content developers
Solid understanding of training and inference software stack – which markets are emerging most quickly, key players, competitors, etc.
Ways to stand out from the crowd:
Experience successfully building strategic partnerships and a versatile ISVs ecosystem for accelerated computing in AI/ML.
Background with NVIDIA products and SDKs (Megatron, TensorRT LLM, CUTLASS, CUDA Toolkit, Python ecosystem)
You will also be eligible for equity and .
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