Developer Relationship Manager - GSI - Nvidia

Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also proven to be unbelievably effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry.

NVIDIA is looking for a Developer Relations Manager to work with our largest global alliance partners to enable them with domain expertise in our portfolio of GPU Accelerated Computing solutions i.e. Machine Learning and Deep Learning, specifically Generative AI and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, hard-working, and creative technologist who has the skills and aim to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerated Computing. This individual is determined, excellent in communication and partnership, stays on top of tasks, mission-focused and outcome-oriented. Roles will include being a technical business development and accelerated computing platform evangelist to our largest global alliance partners. This includes growing new or expanding existing partner practices, co-architecting and advising on repeatable solutions, jointly scope customer project requirements for Gen AI and LLMs, and understand integrations with the ecosystem such as ISVs, data stores, CSP services, and private/hybrid platforms, etc.

What you'll be doing:

• 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.

• We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and do what it takes to make our partners successful.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

Last updated: 23 hours ago