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NEXTMOVEFDE careers · United States
NVIDIA

Tech Engagement Lead - Model Builder

AI summary of the role

NVIDIA seeks a Generative AI Technical Engagement Lead to drive adoption of its accelerated computing stack with leading AI model builders.

What you’ll do

  • Lead technical engagement with senior technical leaders and research teams at AI model builders, optimizing workflows using NVIDIA's complete stack.
  • Drive integration of NVIDIA GPU architectures, DGX systems, InfiniBand, CUDA-X libraries, NeMo, and TensorRT into training and inference pipelines.
  • Strengthen partnerships by defining technical objectives, performance breakthroughs, and timelines aligned with long-term model development goals.
  • Influence product roadmaps by representing software needs of large model builders and advocating for improvements to NVIDIA's core technologies.

What you’ll bring

  • B.S. degree or equivalent experience.
  • 7+ years in technical product or engineering roles in AI/ML, HPC, or distributed systems with emphasis on technology integration and partner collaborations.
  • Extensive experience with large-scale AI/ML training and inference platforms, including distributed systems and GPU cluster technologies.
  • Hands-on knowledge of large model architectures (Transformers, Diffusion Models) and deep learning frameworks (PyTorch, JAX) plus NVIDIA libraries (CUDA, cuDNN, NCCL, TensorRT, NeMo).

Technologies

CUDA · cuDNN · NCCL · TensorRT · NeMo · PyTorch · JAX · InfiniBand · DGX · Kubernetes

About NVIDIA

Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.

Public

Source and classification

Implementation & delivery · Evidence for this classification:

Technical Engagement: Engage with senior technical leaders and research teams at AI model builders. 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. Drive Integration: Accelerate the technical integration of NVIDIA's core generative AI technologies. This includes NVIDIA GPU architectures, DGX systems, high-performance networking (InfiniBand), CUDA-X libraries, NeMo frameworks, and inference libraries like TensorRT. Integrate these into the training and inference pipelines of large model builders. Strengthen Partnerships: Support and strengthen technical implementation plans with partner AI engineering and researchers. Define clear technical objectives, performance breakthroughs, and timelines. Align these with their long-term model development goals and NVIDIA's AI strategy.
More from the job description

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. What You Will Be Doing: Lead Technical Engagement: Engage with senior technical leaders and research teams at AI model builders. 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. Drive Integration: Accelerate the technical integration of NVIDIA's core generative AI technologies. This includes NVIDIA GPU architectures, DGX systems, high-performance networking (InfiniBand), CUDA-X libraries, NeMo frameworks, and inference li [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, n

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