Job Description
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 Youll 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 SDKs 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.
- BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience) as well as 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.
- Strong analytical and problem-solving skills combined with an ability to multitask effectively in a dynamic environment.
- Clear written and oral communication skills with proven ability to articulate value propositions to executive and technical audiences.
- Extensive knowledge, curiosity, and experience with recent advancements in LLMs and Gen AI.
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- 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
JR1995349
Skills
Artificial IntelligenceData MigrationDeep LearningMachine LearningAiMlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Nvidia, a global giant in the technology sector, is at the forefront of artificial intelligence (AI), graphics processing units (GPUs), and gaming technologies. With a focus on creating interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more, Nvidia careers offer an unparalleled opportunity to be part of cutting-edge innovations that shape the future. Nvidia fosters a culture of creativity, innovation, and diversity, inviting professionals to contribute to groundbreaking projects in AI, computer graphics, hardware engineering, and software development. Joining Nvidia means becoming part of a team dedicated to pushing the boundaries of what's possible, making significant impacts in technology and beyond.
Important dates & deadlines?
Application Deadline
04 Apr 26, 05:03 PM IST
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