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. As a key technical driver, you will facilitate deep technical integration and deepen our collaboration around NVIDIA's hardware, systems, and software libraries within partner development pipelines. This role requires strategic leadership at the intersection of product vision, advanced technical execution, and high-level customer engagement, influencing model architecture optimization, training infrastructure investments, and the 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 and optimize their workflows using NVIDIA's stack for end-to-end generative AI workflows.
• Drive technical integration of NVIDIA generative AI 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.
• Strengthen partnerships by supporting technical implementation plans with partner AI engineering and research teams; define technical objectives, performance targets, and timelines aligned with model development goals.
• Influence product roadmaps by representing partner software needs to internal NVIDIA product and engineering teams; synthesize findings from large-scale training and inference environments and advocate for improvements.
• Maintain strategic relationships through regular cadence meetings, documenting insights, tracking progress, and providing internal reporting on technology adoption and impact.
• Showcase best practices for crafting and optimizing highly scalable generative AI model development pipelines, with a focus 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, with focus areas including AI/ML, high-performance computing, or distributed systems and strong emphasis on core technology integration and partner collaborations.
• Extensive experience with platforms that facilitate 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 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: GPU cluster management, high-speed networking, parallel file systems, and deployment across on-premise and cloud infrastructures; specific understanding of how large model builders operate at scale.
• Proven ability to communicate and influence senior engineering and research leadership; link NVIDIA technology capabilities to AI model development and business value.
• Experience navigating fast-paced environments and taking decisive action to achieve results 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 and integrate into model development pipelines.
• Experience influencing complex product and research decisions by building relationships and understanding model builder needs.
• Strategic curiosity to anticipate AI market trends, shape NVIDIA's roadmap, and champion innovation in the large model builder landscape.
• Act as a technical advocate for NVIDIA GPU systems and software stack within partner organizations and showcase technical capabilities and value.
• Understanding of large-scale system performance optimization, container orchestration (e.g., Kubernetes), and Cloud Native technologies for AI workloads.

Compensation & Benefits

• Base salary range: 184,000 USD - 287,500 USD (determined by location, experience, and comparable pay).
• Eligibility for equity and company benefits (link to benefits provided in original posting).

Other Details

• Applications accepted at least until August 1, 2025.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.