GPU-accelerated computing β’ artificial intelligence β’ deep learning β’ virtual reality β’ gaming
10,000+
5 days ago
πΊπΈ United States β Remote
π΅ $180k - $339.3k / year
β° Full Time
π Senior
π§βπ» Full-stack Engineer
GPU-accelerated computing β’ artificial intelligence β’ deep learning β’ virtual reality β’ gaming
10,000+
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.
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.
β’ Equity and benefits
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