NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. 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, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Principal Deep Learning Communication Architect
Location
California + 1 moreAll locations: California | Texas
Posted
55 days ago
Salary
$272K - $431.3K / year
Seniority
Lead
Job Description
Principal Deep Learning Communication Architect
NVIDIA
• Define the long-term technical roadmap for communication libraries across NVIDIA’s next-generation platforms • Lead the development of next-generation communication primitives and collective algorithms • Partner with application developers to architect and implement specialized communication primitives • Collaborate with silicon architects and software engineers to influence hardware specifications for next-generation networking • Develop high-fidelity analytical models and simulators to predict system behavior under emerging workloads
Job Requirements
- Ph.D. or M.S. in Computer Science, Electrical Engineering, or a related field (or equivalent experience)
- 12+ years of industry experience in high-performance computing (HPC) or distributed deep learning
- Deep understanding of 3D parallelism (Data, Tensor, Pipeline) and advanced strategies including Context Parallelism, Expert Parallelism, and Zero Redundancy Optimizer (ZeRO) variants
- Deep technical proficiency with NCCL, UCX, UCC, NVSHMEM, or MPI
- Experience with RDMA, RoCE, and low-level InfiniBand verbs
- Advanced knowledge of high-throughput inference engines and schedulers, specifically TensorRT-LLM, vLLM, SGLang, and NVIDIA Dynamo
- Expert knowledge of the NVIDIA GPU memory hierarchy (HBM3e/HBM4, L2 cache)
Benefits
- equity
- benefits
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