NVIDIA is looking to accelerate GenAI model training and inference by building strategic partnerships with software ecosystem partners and developer communities to enable them to build solutions that meet customer needs in today's markets.
Requirements
- Proven understanding of AI/ML software ecosystem and GPU acceleration libraries
- Background with NVIDIA products and SDKs (Megatron, TensorRT LLM, CUTLASS, CUDA Toolkit, Python ecosystem)
- technical background in AI/ML systems
- fundamentals of computer systems architectures (ISAs) including x86, Arm
- Solid understanding of training and inference software stack
- Ability to manage new and existing technical and business alliances across multiple partner groups and the peer NVIDIA team(s)
Responsibilities
- Drive technical engagement with partners to support partners’ technology, product and solution development
- Integrate NVIDIA acceleration libraries and runtime into partner's applications while staying alert to the competitive landscape.
- Build relationships with partners (engineering, product management and marketing leads, executives) for inference and training frameworks, kernel and communication libraries.
- Understand application workflow and architectural requirements to enable GPU-based workload acceleration.
- 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.
- Drive the engagement between our partners and NVIDIA’s internal engineering, product and marketing teams to enable a rich ecosystem for NVIDIA’s products adoption.
Other
- passionate about developing modern Artificial Intelligence, and Generative AI applications with leading researchers and developers.
- innovative people who want to build a career at the intersection of state of the art research and production.
- passionate about building and driving engineering partnership and strategies to integrate NVIDIA technologies throughout the developer applications.
- 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
- 8+ Years of working experience in a relevant field
