A leading technology company is seeking a Principal Deep Learning Communication Architect in Austin, Texas. In this role, you will define the technical roadmap for communication libraries, lead the development of communication algorithms, and collaborate with engineers to ensure resourceful networking capabilities for AI and HPC applications. Candidates should possess a Ph.D. or M.S. and over 12 years of experience in high-performance computing and related fields, along with expertise in GPU architecture and parallelism strategies.
Qualifications
12+ years of industry experience in high-performance computing (HPC) or distributed deep learning.
Deep understanding of 3D parallelism and advanced strategies.
Experience with RDMA, RoCE, and low-level InfiniBand verbs.
Responsibilities
Define the long-term technical roadmap for communication libraries.
Lead development of next-generation communication primitives and algorithms.
Collaborate with silicon architects and software engineers on specifications.
Skills
Parallelism Expertise
Technical Proficiency with NCCL
Inference & Serving
GPU Architecture Knowledge
Education
Ph.D. or M.S. in Computer Science, Electrical Engineering or related field
Tools
NCCL
MPI
CUDA programming
Job description
A leading technology company is seeking a Principal Deep Learning Communication Architect in Austin, Texas. In this role, you will define the technical roadmap for communication libraries, lead the development of communication algorithms, and collaborate with engineers to ensure resourceful networking capabilities for AI and HPC applications. Candidates should possess a Ph.D. or M.S. and over 12 years of experience in high-performance computing and related fields, along with expertise in GPU architecture and parallelism strategies.