BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience)
12+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions
Deep understanding of Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers
Ability to multitask effectively in a dynamic environment
Strong analytical and problem-solving skills
Clear written and oral communication skills with proven ability to articulate value propositions to executive and technical audiences
Extensive knowledge and experience with recent advancements in LLMs and Gen AI
Desirables
Experience developing with ML/DL frameworks and MLOps ecosystem of partners and solutions in the cloud and on-prem
Background with cloud-based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques
Experience in software engineering and application development
What the job involves
Closely engage with partner executives and practice leaders on building strategy and execution plan to grow Gen AI and LLM capabilities and solution offers
Deeply understand Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress
Promote NVIDIA tools, libraries, and SDK’s with partner architects and developers
Discover new workflows, identify blockers to partner adoption, and report back to the product teams
Drive early adoption of new products and support launch and go-to-market activities
Collaborate with NVDIA partner managers, solution architects, industry business development managers, sales and marketing
NVIDIA is a pioneer in accelerated computing, reshaping the industry with GPUs and data-center-scale offerings that drive AI innovations and power the metaverse.