Solutions Architect – Accelerated Computing Libraries TPM
Core
Design architecture of AI computing platforms and solve computational challenges in LLM inference/training acceleration, network communication, and data transfer optimization for diverse industries.
Role type
Senior IC Solutions Architect / Technical Program Manager
Builds
NVIDIA AI and accelerated computing libraries adoption across multiple industries
Domain
AI computing, High-Performance Computing (HPC), GPU computing
Deliverable
production ML models
Required skills
Accelerated computing, GPU computing, AI software stacks, Product management, Technical program management, Cross-functional collaboration, Market analysis, Solution architecture, Problem analysis, Technical documentation
Preferred skills
High-performance computing, Distributed training/inference, Large-scale system performance optimization, Open-source contributions, Technical blogging, Public speaking
Technologies
NVIDIA AI libraries, Accelerated computing frameworks, LLM inference/training stacks, Network communication protocols
Responsibilities
Drive adoption of NVIDIA AI libraries by collaborating with customer technical teams, local field teams, and global product teams; Track and drive joint projects between local SA team and global product teams ensuring clear ownership and milestones; Deeply understand customers' workloads and map them to NVIDIA libraries identifying functional, performance, and usability gaps; Collaborate with product and engineering teams to prioritize and close key gaps through feature requests and roadmap feedback; Track and analyze industry trends and competitors' solutions to provide insights on library evolution.
