Tech Engagement Lead - Model Builder

NVIDIA • Santa Clara, CA

84d • $184,000 - $287,500

About The Position

NVIDIA is seeking a highly influential Generative AI Technical Engagement Lead to evangelize for, drive, and support the seamless adoption and accelerate the performance of NVIDIA's accelerated computing stack across critical AI model development initiatives with leading AI model builders. As a key technical driver, you will facilitate deep technical integration and deepen our collaboration around NVIDIA's pioneering hardware, systems, and software libraries within their core development pipelines. This role demands a leader who can operate strategically at the intersection of product vision, advanced technical execution, and high-level customer engagement, directly influencing model architecture optimization, training infrastructure investments, and ensuring the deployment of robust, scalable generative AI solutions that redefine the state-of-the-art.

Requirements

• B.S. degree or equivalent experience.
• 7+ years of experience in technical product or engineering roles, focusing on AI/ML, high-performance computing, or distributed systems.
• Extensive experience working with or developing platforms that facilitate large-scale AI/ML training and inference workloads.
• Hands-on knowledge of large model architectures (e.g., Transformers, Diffusion Models).
• Familiarity with core deep learning frameworks (e.g., PyTorch, JAX) and NVIDIA AI acceleration libraries (e.g., CUDA, cuDNN, NCCL, TensorRT, NeMo).
• Strong understanding of compute infrastructure environments, including GPU cluster management, high-speed networking, parallel file systems, and deployment across on-premise and cloud infrastructures.
• Proven ability to communicate and influence senior leadership across engineering and research leaders at partner organizations.

Nice To Haves

• Hands-on experience with large language models (LLMs), diffusion models, distributed training frameworks, and advanced optimization techniques.
• Ability to prototype quickly and integrate into model development pipelines.
• Eager drive, strategic curiosity, and the ability to anticipate market trends in AI.
• Understanding of large-scale system performance optimization, container orchestration (e.g., Kubernetes), and Cloud Native technologies for AI workloads.

Responsibilities

• Engage with senior technical leaders and research teams at AI model builders to optimize their workflows by leveraging NVIDIA's complete stack for their end-to-end generative AI workflows.
• Serve as a primary technical point of contact.
• Accelerate the technical integration of NVIDIA's core generative AI technologies, including NVIDIA GPU architectures, DGX systems, high-performance networking (InfiniBand), CUDA-X libraries, NeMo frameworks, and inference libraries like TensorRT.
• Support and strengthen technical implementation plans with partner AI engineering and researchers, defining clear technical objectives, performance breakthroughs, and timelines.
• Represent the software needs of large model builders to internal NVIDIA product and engineering teams, contributing to product roadmap decisions.
• Conduct regular cadence meetings, document insights, track progress, and provide consistent internal reporting on the adoption and impact of NVIDIA technologies.
• Share standard methodologies for crafting and optimizing highly scalable generative AI model development pipelines across all stages.
• Keep current with the latest NVIDIA hardware, libraries, and system updates, proactively sharing relevant insights and optimizations with partner model development teams.

Benefits

• Base salary range of 184,000 USD - 287,500 USD.
• Eligibility for equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees