NVIDIA
Tech Engagement Lead - Model Builder
$184K–$356K
US, CA, Santa Clara · Full-time · Posted Apr 30, 2026
- Experience
- 7+ years.
- Education
- B.S. degree or equivalent experience.
About the job
Leads technical engagements with AI model builders to integrate and optimize NVIDIA’s accelerated computing technologies across large-scale generative AI training and inference workflows.
What you'll do
- Guide partner teams in integrating and optimizing NVIDIA hardware, systems, and software in model development pipelines.
- Coordinate technical objectives and implementation plans with partners, and communicate their needs to NVIDIA product and engineering teams.
- Track partner adoption and share scalable model-development practices and technical insights.
What they ask for
- B.S. degree or equivalent experience.
- 7+ years of experience in technical product or engineering roles focused on AI/ML, high-performance computing, or distributed systems.
- Extensive experience with platforms for large-scale AI/ML training and inference workloads.
- Hands-on knowledge of large model architectures, deep-learning frameworks, NVIDIA acceleration libraries, and compute infrastructure.
Nice to have
- Hands-on experience with LLMs, diffusion models, distributed training frameworks, and advanced optimization techniques.
- Understanding of performance optimization, Kubernetes, and Cloud Native technologies for AI workloads.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
NVIDIA GPU architectures, DGX systems, InfiniBand, CUDA-X libraries, NeMo, TensorRT, PyTorch, JAX
AI focus
Supports adoption, integration, and performance optimization of technologies for large-scale generative AI model training and inference.
Model-written summary · the original posting is authoritative