
Technical Solutions Architect
2 weeks ago
This senior-level role focuses on developing strategic relationships with independent software vendors (ISVs) and service providers to integrate GPU-accelerated computing solutions. The ideal candidate will have a deep understanding of Agentic AI, Gen AI, and LLM ecosystems, as well as experience in technical leadership roles and architecting GPU-accelerated computing solutions.
The successful candidate will be responsible for promoting NVIDIA tools, libraries, and SDKs with ISV and service provider architects and developers. They will also need to deeply understand Agentic AI, Gen AI workflows, and LLM breakthroughs, and be able to identify blockers to ISV adoption and report back to the product teams.
- Promote NVIDIA tools, libraries, and SDKs with ISV and service provider architects and developers.
- Deeply understand Agentic AI, Gen AI workflows, and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress.
- Discover new workflows, identify blockers to ISV adoption, and report back to the product teams.
- Drive early adoption of new products and support launch and go-to-market activities.
- Collaborate with partner managers, solution architects, industry business development managers, sales, and marketing.
NVIDIA is widely considered one of the technology world's most desirable employers. We have forward-thinking individuals working for us. If you're creative and autonomous, we want to hear from you.
Key QualificationsTo be successful in this role, you'll need:
- BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
- 10+ years of work-related experience in technical leadership roles and architecting GPU-accelerated computing solutions.
- Deep understanding of Agentic AI, Gen AI, and LLM ecosystems of startups, ISVs, data stores, CSP services, and SaaS/platform offers.
- Strong analytical and problem-solving skills, with deep empathy for developers.
- Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences.
- Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders.
- Extensive knowledge and experience with recent advancements in LLMs, VLMs, Agentic AI, and Gen AI.
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