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NVIDIA

Product Technical Lead, GenAI

Posted 10 Days Ago
Be an Early Applicant
In-Office or Remote
2 Locations
184K-357K
Senior level
In-Office or Remote
2 Locations
184K-357K
Senior level
Lead the strategy for integrating Generative AI software with enterprise platforms, collaborating with partners while managing technical objectives and product engagement.
The summary above was generated by AI

NVIDIA's Enterprise Product Group is seeking a highly influential and forward thinking GenAI Product Technical Lead to define and implement the technical strategy for integrating our innovative Generative AI software with the core platforms of our strategic enterprise partners. As a key technical driver, you will foster a strong relationship with customer Platform Architect and accelerate the adoption of NVIDIA's GenAI offerings across critical customer enterprise initiatives. This role demands a leader who can operate proficiently at the intersection of Product strategy and hands-on technical execution, staying ahead of the advancements in Generative and Agentic AI. You will directly influence technology direction, infrastructure investments, and ensure the deployment of robust, scalable GenAI solutions that redefine enterprise capabilities.

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.

We’re entering a defining chapter in NVIDIA’s history! This role offers an exceptional opportunity to be a foundational member of a team that will help build our Enterprise Generative AI business. You will have the support of Engineering, NVIDIA Research, Solutions Architects, and Product teams to empower enterprises and redefine their operations with pioneering AI applications. Your contributions will directly impact the trajectory of our Enterprise AI success, making this an unparalleled opportunity for professional growth and impact.

#LI-Hybrid

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 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.

Top Skills

AWS
Azure
Docker
GCP
Hugging Face
Jax
Kubeflow
Kubernetes
Langchain
Nvidia Nemo
Python
PyTorch

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