Senior Forward Deployed Architect, Generative AI

requirements and architectures. Willingness to prototype, implement, validate, and troubleshoot hands-on when needed to solve critical problems or prove out approaches. A solid technical foundation in the technologies AI infrastructure is built on, especially Linux systems administration. A self-directed learner who can ramp on brand new technologies and unfamiliar technical domains independently. Strong communication skills with the ability to engage technical teams, executives, and multi-functional collaborators. Ways to stand out from the crowd: Solutions architecture or technical consulting background across multiple customer engagements simultaneously, with experience bringing novel AI hardware or frameworks to production with frontier AI Native organizations, hyperscalers, Neo Clouds, or ISVs. A foundational cloud or distributed systems background built at hyperscaler scale. A public technical voice: blog posts, talks, open-source contributions, or reference work that shows depth and opinion. Hands-On Technical Expertise in one or more of: NVIDIA Stack (CUDA, Ne Mo, Triton, Tensor RT, NIM, DGX Cloud, and the broader DSX software portfolio), Inference Systems (large-scale inference with frameworks like v LLM and SGLang, prefill-decode disaggregation, performance optimization across hardware), Training Systems (distributed training, model and pipeline optimization, open-source generative AI frameworks), Infrastructure (SLURM, Kubernetes, GPU scheduling, distributed computing frameworks, rack-scale systems, multiple CSP or NCP cloud environments), and Observability and Automation (CI/CD, infrastructure as code, GPU performance monitoring). NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.