Nvidia Product Technical Lead GenAI 

United States, Texas 

811636095

What You Will Be Doing:

• Architect integration of our Generative AI offerings within ISV Software Platforms, driving close relationship with ISV Platform Architects. Define technical objectives, timelines, and technical adoption strategy, aligning with their long-term business objectives.

• Lead the technical product engagement, serving as their primary point of contact. Drive regular cadence meetings, progress tracking, adoption status, and regular internal reporting consistent with NVIDIA's culture. In doing so, you will collaborate with NVIDIA Product, Engineering, Research, Solution Architecture, and other organizations to arrive at the most promising solution.

• Represent Partner needs, constraints, and architecture design to Product and Engineering teams. Contribute to Product roadmap by synthesizing findings from large-scale enterprise environments and cross-industry patterns, captured from ISV engagements.

• Showcase methodologies for designing scalable GenAI Platforms across stages such as Data Curation and Ingestion, Retrieval-Augmented Generation (RAG), Model Finetuning and Alignment, Agentic workflows and production-ready deployments as it relates to ISV and CSP Integrations.

• Develop expertise in GenAI Platform Architecture and keep up to date with the latest in the industry and NVIDIA offerings, including NIMs, NeMo Microservices, NVIDIA OSS Software and Frameworks and Product updates to best support the customer Platform teams.

What we need to see:

• 7+ years of proven experience in technical Product or Engineering roles in Enterprise Software, Cloud Platforms, and production deployments with a focus on building partner integrations.

• Masters or PhD in Computer Science, Electrical Engineering or equivalent experience.

• Strong background in AI/ML and Deep Learning with hands-on knowledge of Generative AI frameworks and Programming languages such as, Python, PyTorch, NVIDIA NeMo, Hugging Face, LangChain, JAX, etc. with a proven track record of building enterprise-grade GenAI systems such as RAGs and Agents.

• Strong understanding of Enterprise IT environments including Security, Compliance, Governance, Data infrastructure, and Deployment across on-prem, hybrid, and multi-cloud platforms.

• Understanding of MLOps lifecycle, container orchestration, and Cloud Native technologies including Kubernetes, Docker, Kubeflow, and Cloud Service Integrations with AWS, Azure, GCP and related technologies.

• Strong systems thinking, ability to lead through undefined problems, and a deep curiosity for emerging AI technologies. Strong sense of ownership, initiative, and leading projects end-to-end.

Ways to Stand Out from the crowd:

• Demonstrated agility in dynamic and high-stakes environments, bringing a bias for action to deliver outcomes with partner collaborations.

• Technical excellence and proven success working hands-on with LLMs and agentic frameworks (e.g., NeMo, LangChain, RAG pipelines, Agentic architectures), combined with the agility to prototype quickly.

• Track record of influencing complex product decisions through trusted relationships, showing empathy for enterprise ISV and cloud provider needs and an instinct for translating those into scalable platform improvements.

• Natural connector and communicator, strong teammate, able to build trust with engineers, executives, and multi-functional teams at both NVIDIA and Partner organizations.

• Go-getter demeanor paired with strategic curiosity, proactive in anticipating market trends, and advocating for innovation inside and outside the org, with an in-depth knowledge of the ISV and cloud provider landscape.