Lavori attuali relativi a Sr. Software Engineer- Ai/Ml, Aws Neuron Distributed Training - Lazio - Amazon


  • Lazio, Italia Amazon A tempo pieno

    Software Development Engineer - AI/ML, AWS Neuron, Multimodal InferenceThe Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium.The AWS Neuron SDK, developed by the Annapurna Labs team at...


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    Software Development Manager - ML Compiler, AWS Neuron, Annapurna LabsThe Product: AWS Machine Learning accelerators are at the forefront of AWS innovation.The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud.Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of...


  • Lazio, Italia Amazon A tempo pieno

    The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS.The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud.Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute...


  • Lazio, Italia Amazon A tempo pieno

    A global technology firm in Milan seeks a skilled ML Compiler Engineer II to join the AWS Neuron Compiler team.This role involves developing a state-of-the-art deep learning compiler stack while optimizing application models.Candidates should have strong skills in C++ and Python, along with at least 3 years of experience in design or architecture.A...


  • Lazio, Italia Amazon A tempo pieno

    A leading technology company in Turin is seeking a Senior Machine Learning Compiler Engineer III to join their AWS Neuron team.The role involves supporting the development of cutting-edge ML compilers for large workloads, mentoring engineers, and collaborating with AWS ML teams.Candidates should have substantial software development experience, ideally in a...

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  • Lazio, Italia Amazon A tempo pieno

    The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS.The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud.Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute...

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    Lazio, Italia Amazon A tempo pieno

    About the Role Do you want to be part of AI revolution?At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure.In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the...


  • Lazio, Italia Canonical A tempo pieno

    Distributed Systems Software Engineer, Python / GoJoin to apply for theDistributed Systems Software Engineer, Python / Gorole atCanonicalDistributed Systems Software Engineer, Python / Go3 months ago Be among the first 25 applicantsJoin to apply for theDistributed Systems Software Engineer, Python / Gorole atCanonicalGet AI-powered advice on this job and...

Sr. Software Engineer- Ai/Ml, Aws Neuron Distributed Training

2 settimane fa


Lazio, Italia Amazon A tempo pieno

Sr.Software Engineer- AI/ML, AWS Neuron Distributed Training Annapurna Labs designs silicon and software that accelerates innovation.Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday.Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) cloud-scale Machine Learning accelerators.This role is for a Senior Machine Learning Engineer in the Distributed Training team for AWS Neuron, responsible for development, enablement, and performance tuning of a wide variety of ML model families, including large-scale LLMs such as GPT and Llama, as well as Stable Diffusion and Vision Transformers (ViT).The ML Distributed Training team works side by side with chip architects, compiler engineers, and runtime engineers to create, build, and tune distributed training solutions with Trainium instances.Experience training these large models using Python is a must.FSDP (Fully-Sharded Data Parallel), Deepspeed, Nemo, and other distributed training libraries are central to this work; extending them for the Neuron-based system is key.Key job responsibilitiesLead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks.Optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and Inferentia, as well as Trn1, Trn2, Inf1, and Inf2 servers.Apply strong software development skills, deep dive into complex problems, and work effectively with cross-functional teams.Build a solid foundation in Machine Learning to deliver high-quality solutions.About the teamAnnapurna Labs was a startup company acquired by AWS in **** and is now fully integrated.The team operates across silicon engineering, hardware design and verification, software, and operations, supporting AWS Neuron, Inferentia, and Trainium ML Accelerators.We foster a collaborative environment with mentorship, thorough code reviews, and opportunities for career growth.Basic QualificationsBachelor's degree in computer science or equivalent.5+ years of non-internship professional software development experience.5+ years of programming with at least one software programming language experience.5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems.5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.Experience as a mentor, tech lead, or leading an engineering team.Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.Preferred QualificationsMaster's degree in computer science or equivalent.Experience in computer architecture.Previous software engineering expertise with PyTorch, Jax/TensorFlow, distributed libraries and frameworks, and end-to-end model training.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-*****-Ljbffr