As a hands-on Partner Engagement Lead at NVIDIA, you will drive technical integration of Generative AI software with strategic enterprise ISV and CSP partners, building trusted relationships with their Platform Architects and accelerating the adoption of NVIDIA’s offerings across critical initiatives. Your day-to-day involves defining technical objectives, timelines, and product adoption strategies while designing methodologies and reference architectures using NVIDIA libraries like NeMo, NIMs, Triton, TensorRT, and others. You will also work closely with internal teams to ensure efficient solutions and represent partner needs in product development discussions. This role requires 8+ years of experience in technical roles within enterprise software and cloud platforms, a strong background in AI/ML, hands-on expertise with NVIDIA libraries and frameworks, and proficiency in Python, PyTorch, and related technologies. You must also have deep knowledge of MLOps, Kubernetes, Docker, and multi-cloud deployments, along with the ability to influence product decisions through trusted partner relationships.
Drive technical integration of GenAI offerings with ISV and CSP partners.
Design and implement methodologies using NVIDIA libraries and related technologies.
Own technical product engagement, including regular meetings and progress tracking.
Develop deep understanding of the entire GenAI lifecycle, focusing on specific areas.
Represent partner needs to Product and Engineering teams for roadmap contributions.
Stay updated with latest industry trends and NVIDIA advancements in GenAI.
What we're looking for
8+ years of experience in technical Product or Engineering roles with a focus on building partner integrations.
Masters or PhD in Computer Science, Electrical Engineering, or equivalent practical experience.
Strong background in AI/ML and Deep Learning, hands-on experience with enterprise-grade GenAI systems.
Proficiency in programming languages and libraries such as Python, PyTorch, NVIDIA NeMo, vLLM, LangChain, etc.
Expertise in enterprise deployments including MLOps, Kubernetes, Docker, Kubeflow, and multi-cloud platforms.
Ability to research, prototype, collaborate with teams, and deliver technical solutions for evolving GenAI customer scenarios.
Strong executive communication skills and deep curiosity about emerging AI technologies.
Market check
Salary context
This
$184,000–$287,500
range sits above
75%
of similar postings on FindRole.
Peer median band
$158,700–$250,350
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$161,000–$240,250
Middle half of comparable postings.
Based on 238 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.