The Principal Partner Engagement Lead role involves driving technical integration of Generative AI software with strategic enterprise ISV and CSP partners as part of NVIDIA’s advanced technology team. This hands-on position requires building trusted relationships with Platform Architects, defining technical objectives, and deploying robust GenAI solutions using NVIDIA libraries like NeMo and Triton alongside industry tools such as LangChain and vector DBs across major cloud platforms. The role demands expertise in AI/ML, deep learning, and production LLM deployments, along with strong communication skills to influence product direction and collaborate closely with internal teams. Ideal candidates have over 15 years of experience in technical roles within enterprise software and cloud platforms, a master’s or PhD degree, and a solid background in MLOps, Kubernetes, Docker, and multi-cloud environments.
Define technical objectives and timelines for integrating GenAI offerings with strategic enterprise partners.
Design and implement reference architectures using NVIDIA libraries and other technologies for major CSP platforms.
Own technical product engagement, driving regular meetings and progress tracking with partner teams.
Develop deep understanding of the Generative AI lifecycle stages including data curation and LLM pre-training.
Represent partner needs to Product and Engineering teams, contributing to the GenAI roadmap based on enterprise insights.
What we're looking for
15+ years of experience in technical product or engineering roles with a focus on enterprise software and cloud platforms.
Masters or PhD in Computer Science, Electrical Engineering, or equivalent practical experience.
Strong background in AI/ML and deep learning, including hands-on experience building enterprise-grade GenAI systems.
Proficiency in programming languages and libraries such as Python, PyTorch, HuggingFace, LangChain, NVIDIA NeMo, vLLM, AutoGen, TensorRT-LLM.
Expertise in enterprise deployments, MLOps, cloud-native technologies like Kubernetes, Docker, Kubeflow, and multi-cloud platforms.
Ability to influence product decisions through trusted partner relationships and anticipate market trends for innovation.
Strong executive communication skills and deep curiosity about emerging AI technologies.
Market check
Salary context
This
$272,000–$431,250
range sits above
97%
of similar postings on FindRole.
Peer median band
$164,800–$258,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$173,400–$246,150
Middle half of comparable postings.
Based on 237 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
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