Lavori attuali relativi a Ml Compiler Engineer, Aws Neuron, Annapurna Labs... - Rome - Amazon
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Rome, Italia Amazon A tempo pienoOverview A leading global technology company is seeking a Sr. Machine Learning Compiler Engineer III for its AWS Neuron team in Torino, Italy. The role involves architecting and implementing features for ML workloads and mentoring a team of engineers. The company promotes a culture of inclusion, work-life balance, and career growth, offering competitive...
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Rome, Italia Altro A tempo pienoA cloud consulting company in Rome is seeking a Head of Cloud to lead its strategic partnership with AWS. This role involves managing key partnerships, driving cloud services growth, and ensuring engineering excellence in solutions. Candidates should possess extensive experience in cloud architecture, team leadership, and business development, particularly...
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Rome, Italia Turing A tempo pienoOverviewDescrizione dell’offerta di lavoro. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers by accelerating frontier research with high-quality data, advanced training pipelines,...
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Hybrid Devops Engineer – Aws, Kubernetes
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Senior Machine Learning Engineer
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Rome, Italia Motork A tempo pienoDescrizione dell’offerta di lavoro Overview As a Machine Learning Engineer at MotorK, you’ll be at the center of how data becomes product. You’ll architect, train, and deploy machine learning systems that power predictive maintenance, automated classification, and next-gen marketing experiences for the automotive world. You’ll shape strategy, own...
Ml Compiler Engineer, Aws Neuron, Annapurna Labs...
2 giorni fa
OverviewDescrizione dell’offerta di lavoro.ML Kernel Performance Engineer, AWS Neuron, Annapurna LabsThe 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 Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration.The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance.As part of the broader Neuron Compiler organization, our team works across multiple technology layers—from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high‑performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology.This is an opportunity to work on cutting‑edge products at the intersection of machine‑learning, high‑performance computing, and distributed architectures. You will architect and implement business‑critical features, publish cutting‑edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine‑learning workloads achieve optimal performance on AWS ML accelerators.Explore the product and our historyjob responsibilitiesDesign and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models.Analyze and optimize kernel-level performance across multiple generations of Neuron hardware.Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks.Implement compiler optimizations such as fusion, sharding, tiling, and scheduling.Work directly with customers to enable and optimize their ML models on AWS accelerators.Collaborate across teams to develop innovative kernel optimization techniques.A day in the lifeBuild high‑impact solutions to deliver to our large customer base.Participate in design discussions, code reviews, and communicate with internal and external stakeholders.Work cross‑functionally to help drive business decisions with your technical input.Work in a startup‑like development environment, where you’re always working on the most important stuff.Qualifications3+ years of non‑internship professional software development experience.2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.Experience programming with at least one software programming language.Preferred Qualifications3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.Bachelor’s degree in computer science or equivalent.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner.#J-18808-Ljbffr
