Senior AI Software Engineer - GenAI Framework

October 31

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NVIDIA

GPU-accelerated computing β€’ artificial intelligence β€’ deep learning β€’ virtual reality β€’ gaming

10,000+

Description

β€’ Develop the GenAI open source NeMo framework and Megatron Core . β€’ Solve large-scale, end-to-end AI training and inference-deployment challenges (data curation, pre-processing, orchestrate and run model training and tuning, model serving). β€’ Work at the intersection of deep learning applications, libraries, frameworks, and the entire software stack. β€’ Performance tuning and optimizations of deep learning framework & software components. β€’ Research, prototype and develop effective AI tools and pipelines.

Requirements

β€’ MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related field and 5+ years of industry experience. β€’ Experience with AI Frameworks (e.g. PyTorch, JAX), and/or inference and deployment environments (e.g. TRT, ONNX, Triton). β€’ Proficient in Python programming, software design, debugging, performance analysis, test design and documentation. β€’ Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations. β€’ Solid understanding of deep learning fundamentals and techniques. β€’ Experience with large scale AI training and understanding of compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing), related performance analysis and tuning. β€’ Prior experience with Generative AI techniques applied to LLM and MM learning (Image, Video, Speech). β€’ Knowledge of GPU/CPU architecture and related numerical software. β€’ Experience with cloud computing (e.g. end-to-end pipelines for AI training and inference on CSP (AWS/Azure/GCP). β€’ Contributions to open source deep learning frameworks.

Benefits

β€’ Equity and benefits

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