Tech Engagement Lead - Model Builder

Details

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. You will facilitate deep technical integration and deepen collaboration around NVIDIA's hardware, systems, and software libraries within partner model development pipelines. This role operates at the intersection of product vision, advanced technical execution, and high-level customer engagement to influence model architecture optimization, training infrastructure investments, and deployment of scalable generative AI solutions.

Responsibilities

• Lead technical engagement with senior technical leaders and research teams at AI model builders; serve as a primary technical point of contact.
• Optimize partner workflows by leveraging NVIDIA's complete stack for end-to-end generative AI workflows.
• Drive technical integration of NVIDIA technologies including NVIDIA GPU architectures, DGX systems, high-performance networking (InfiniBand), CUDA-X libraries, NeMo frameworks, and inference libraries such as TensorRT into training and inference pipelines.
• Support and strengthen technical implementation plans with partner AI engineering and research teams; define technical objectives, performance targets, and timelines.
• Represent partner software needs to internal NVIDIA product and engineering teams; influence product roadmaps by synthesizing findings from large-scale model training and inference environments.
• Maintain strategic relationships through regular cadence meetings, documentation of insights, progress tracking, and internal reporting on technology adoption and impact.
• Share best practices and standard methodologies for crafting and optimizing highly scalable generative AI model development pipelines, with emphasis on large model development.
• Stay current with NVIDIA hardware, libraries, and system updates and proactively share relevant optimizations with partner teams.

Requirements

• B.S. degree or equivalent experience.
• 7+ years of experience in technical product or engineering roles focused on AI/ML, high-performance computing (HPC), or distributed systems, with emphasis on core technology integration and partner collaborations.
• Extensive experience building or working with platforms for large-scale AI/ML training and inference workloads, including distributed systems, data infrastructure, and GPU cluster technologies.
• Hands-on knowledge of large model architectures (e.g., Transformers, Diffusion Models) and familiarity with deep learning frameworks such as PyTorch and JAX.
• Experience with NVIDIA AI acceleration libraries and toolsets (CUDA, cuDNN, NCCL, TensorRT, NeMo, CUDA-X libraries) and techniques for model customization, distributed training, and inference orchestration.
• Strong understanding of compute infrastructure: GPU cluster management, high-speed networking, parallel file systems, and deployment across on-premise and cloud infrastructures.
• Proven ability to communicate and influence senior engineering and research leadership at partner organizations and link NVIDIA technology capabilities to model development and business value.
• Experience working in fast-paced environments and in AI research collaborations; skilled at engaging engineers, researchers, executives, and cross-functional teams.

Ways to Stand Out

• 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.
• Demonstrated ability to influence complex product and research decisions and to nurture positive partner relationships.
• Strategic curiosity and market awareness to anticipate trends in AI and help shape NVIDIA's roadmap.
• Experience with container orchestration (e.g., Kubernetes) and Cloud Native technologies for AI workloads.

Benefits and Compensation

• Base salary range: 184,000 USD - 287,500 USD (determined by location, experience, and comparable employee pay).
• Eligible for equity and company benefits. See NVIDIA benefits for details.
• Applications accepted at least until October 9, 2025.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.