NVIDIA seeks a Senior Generative AI Technical Engagement Lead to drive technical integration and support seamless adoption of its accelerated computing stack among leading AI model builders. This role involves engaging with senior technical leaders to optimize workflows using NVIDIA’s GPU architectures, DGX systems, CUDA-X libraries, and NeMo frameworks, ensuring robust, scalable solutions for large-scale generative AI projects. The ideal candidate will have extensive experience in high-performance computing, distributed systems, and deep learning frameworks like PyTorch and JAX, along with hands-on knowledge of large model architectures such as Transformers and Diffusion Models. They must possess strong communication skills to influence senior leadership and navigate fast-paced environments, fostering strategic relationships that align partner goals with NVIDIA’s AI strategy. This position offers a unique opportunity to shape the future of generative AI by working at the forefront of cutting-edge technology development.
Lead technical engagement with senior leaders at AI model builders to optimize workflows using NVIDIA’s stack.
Drive integration of NVIDIA's core generative AI technologies into large model training and inference pipelines.
Influence product roadmaps by representing software needs of large model builders to internal teams.
Maintain strategic relationships through regular meetings, documenting insights, and tracking progress on technology adoption.
Showcase best practices for scalable generative AI model development across all stages.
What we're looking for
7+ years experience in technical product or engineering roles focusing on AI/ML, HPC, or distributed systems.
Extensive hands-on knowledge of large model architectures, deep learning frameworks, and NVIDIA AI acceleration libraries.
Strong understanding of GPU cluster management, high-speed networking, parallel file systems, and cloud infrastructures.
Proven ability to communicate and influence senior leadership at partner organizations regarding AI technology capabilities.
Hands-on experience with LLMs, diffusion models, distributed training frameworks, and advanced optimization techniques.
Skill in connecting with engineers, researchers, executives, and multi-functional teams across various environments.
Market check
Salary context
This
$184,000–$287,500
range sits above
84%
of similar postings on FindRole.
Peer median band
$152,200–$225,100
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$162,000–$217,725
Middle half of comparable postings.
Based on 239 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.