NVIDIA’s Enterprise Product Group is seeking a highly technical and strategic Senior Product Integration Lead to drive the adoption and deep technical integration of our Generative AI software stack with key enterprise ISVs and cloud service providers. This role operates at the intersection of platform architecture, hands-on technical execution, and partner engagement—building trusted relationships with technical leaders of your assigned partners, to accelerate the delivery of scalable, high-performance GenAI solutions.As the lead technical driver, shape how partners leverage NVIDIA’s hardware, systems, and software—from LLM training to inference optimization and Agentic platform integrations. Directly influence software design, developer experience, and go-to-market alignment to ensure seamless adoption across real-world enterprise use cases. The ideal candidate combines deep AI/ML applications knowledge with a systems mindset, and a passion for empowering partner ecosystems to build whats next. We’re entering a defining chapter in NVIDIA’s history! Are you looking for an exceptional opportunity to help build our Enterprise Generative AI business? Youll have the support of Engineering, NVIDIA Research, Solutions Architects, and Product teams to empower enterprises and redefine their operations with pioneering AI applications.What you will be doing:<ul><li>Build and drive the technical integration of our GenAI offerings across a focused set of ISV and CSP Platforms, collaborating closely with their Platform Architects. Define technical objectives, timelines, and product adoption strategy, aligning with each partner’s long-term business objectives.</li><li>Hands-on design and ship methodologies, code, and reference architectures that bring RAG, LLM inference, and Multi-Agent workflows to life using NVIDIA libraries (NeMo, NIMs, Triton, Tensor-RT, etc.) as well as vLLM, LangChain, vector DBs, MCP, A2A, and related technologies, deployed across major CSP platforms such as AWS, Azure, GCP, etc.</li><li>Own the technical product engagement. Drive regular meetings, progress tracking, adoption status, and internal reporting consistent with NVIDIAs culture. You will work closely with NVIDIA Product, Engineering, Research, Solution Architecture, and other organizations to achieve the most efficient solution.</li><li>Develop understanding across all stages of GenAI lifecycle with depth in select areas such as Data Curation, LLM Pre-training, Finetuning such as PEFT, SFT, post-training, Reasoning, RAG, Multi-agent workflows and LLM Inference for production deployments.</li><li>Represent Partner needs and architecture design to Product and Engineering teams. Contribute to Product roadmap by articulating insights from large-scale enterprise environments and cross-industry patterns, captured from ISV engagements.</li><li>Develop expertise in GenAI Platform Architecture and keep up to date with the latest in the industry and NVIDIA libraries, models, and frameworks to best support the partner Platform teams.</li></ul>What we need to see:<ul><li>8+ 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.</li><li>Masters or PhD in Computer Science, Electrical Engineering or equivalent experience.</li><li>Strong background in AI/ML and Deep Learning with hands-on experience building enterprise-grade GenAI systems such as intricate RAGs, Multi-Agent architectures, and production LLM deployments.</li><li>Experience with programming languages and libraries such as HuggingFace, LangChain, Python, PyTorch, NVIDIA NeMo, vLLM, AutoGen, TensorRT-LLM, etc. and LLM application stages such as Pre-training, Customization, Inference, Evaluation, and Benchmarking.</li><li>Ability to swiftly research, prototype, and collaborate with multiple teams to arrive at the best technical solution for new and evolving GenAI customer scenarios driving to completion, demonstrating teamwork and ownership of large projects.</li><li>Strong understanding of enterprise deployments including MLOps, Cloud Native technologies such as Kubernetes, Docker, Kubeflow, and Enterprise IT environments including Security, Compliance, Governance, Data infrastructure, and Deployments across on-prem, hybrid, and multi-cloud platforms.</li><li>Strong executive-caliber communication, and deep curiosity for emerging AI technologies. High ownership and initiative, keeping internal and external collaborators aligned.</li></ul>Ways to stand out from the crowd:<ul><li>Track record of influencing sophisticated product decisions through trusted partner relationships, showing empathy for customer needs and an instinct for translating those into scalable platform improvements.</li><li>Demonstrated agility in high-stakes environments required to deliver successful outcomes with partner collaborations especially with high-velocity GenAI landscape.</li><li>Strong growth and solution outlook, highly collaborative standout colleague, able to build deep trust with engineers, executives, and multi-functional teams at both NVIDIA and Partner organizations.</li></ul>NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant, forward-thinking and hardworking people in the world working for us. There has never been a more exciting time to join!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until October 19, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.