Lavori attuali relativi a Ml Kernel Performance Engineer, Aws Neuron, Annapurna Labs - Montà - Amazon
-
Ml Compiler Engineer, Aws Neuron, Annapurna Labs
1 settimana fa
Montà, Italia Amazon A tempo pienoAt AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to innovative 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 performance of complex neural net models executed on AWS Inferentia and...
-
Senior Software Development Engineer
2 settimane fa
Montà, Italia Amazon A tempo pienoSenior Software Development Engineer - AI/ML, AWS Neuron, Multimodal InferenceJob ID: | Amazon.com Services LLCThe 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,...
-
Software Development Engineer Iii, Annapurna Labs
2 settimane fa
Montà, Italia Amazon A tempo pienoAbout Amazon Annapurna LabsAmazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers.We are at the forefront of innovation by combining cloud scale with the world's most talented engineers.Our team covers multiple disciplines including silicon engineering, hardware design,...
-
Ml Compiler Engineer Ii
5 giorni fa
Montà, Italia Amazon A tempo pienoA global technology company seeks a Software Engineer for the Compiler team to enhance the Neuron compiler for ML models. The candidate will tackle optimization problems, collaborate with various teams, and build innovative features to improve compiler performance and user experience. Required qualifications include 3+ years of software development...
-
Remote Engineer
23 ore fa
Montà, Italia Hermes Corporate A tempo pienoWe're looking for a skilled freelance AI/ML Engineer to support us in designing and deploying AI-driven solutions that tackle complex real-world challenges.Build and manage data pipelines for model training and inferenceDevelop scalable model deployment strategies in production environmentsMonitor model performance and optimize for accuracy and...
-
Sr. Ai/Ml Specialist Solutions Architect
7 giorni fa
Montà, Italia Amazon A tempo pienoSr.AI/ML Specialist Solutions ArchitectJob ID: | Amazon Web Services Singapore Private LimitedAre you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI and Agentic AI?Are you excited by the challenge of driving production usage of ML and AI at scale?Come join us!ML and AI, especially Generative AI and Agentic...
-
Senior Embedded Software Engineer, Annapurna
4 giorni fa
Montà, Italia Amazon A tempo pienoSenior Embedded Software Engineer, AnnapurnaAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry.As a member of the UC...
-
Montà, Italia M.C. Engineering Srl A tempo pienoUna società di consulenza informatica cerca un Machine Learning Engineer per lavorare su progetti innovativi in AI e ML. Il candidato ideale lavorerà nel Competence Center dedicato all'Innovation, contribuendo attivamente alla progettazione e allo sviluppo di soluzioni all'avanguardia. Si richiede motivazione e competenza in ambito AI. La posizione è...
-
Aws Cloud Architect
2 settimane fa
Montà, Italia Warp Tech Srl A tempo pienoUn'azienda di tecnologia è alla ricerca di un Cloud Architect/Engineer con esperienza su AWS per progettare soluzioni innovative.Il candidato ideale ha almeno due certificazioni AWS e una solida esperienza operativa.Sarà responsabile della governance delle architetture cloud e delle operazioni L3, lavorando in un ambiente ibrido.Sono richieste ottime...
-
Devops Engineer
4 giorni fa
Montà, Italia Gain360 A tempo pienoMashfrog Group è una rete integrata di aziende specializzate in diverse aree del business digitale.Siamo nati con un'unica missione: superare i paradigmi tecnologici e di comunicazione per creare modelli di business innovativi e dirompenti.Lavorare in Mashfrog significa lavorare in un gruppo di oltre 400 Professionisti con un'età media di 35 anni e con...
Ml Kernel Performance Engineer, Aws Neuron, Annapurna Labs
4 ore fa
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.Explore the product and our historyjob responsibilitiesDesign and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming modelsAnalyze and optimize kernel-level performance across multiple generations of Neuron hardwareConduct detailed performance analysis using profiling tools to identify and resolve bottlenecksImplement compiler optimizations such as fusion, sharding, tiling, and schedulingWork directly with customers to enable and optimize their ML models on AWS acceleratorsCollaborate across teams to develop innovative kernel optimization techniquesA day in the lifeBuild high-impact solutions to deliver to our large customer base.Participate in design discussions, code review, 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.About the team#1.Diverse ExperiencesAWS values diverse experiences.Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.#2.Why AWSAmazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.#3.Inclusive Team CultureHere at AWS, we embrace our differences.We are committed to furthering our culture of inclusion.We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.#4.Work/Life BalanceOur team puts a high value on work-life balance.It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life.We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.#5.Mentorship & Career GrowthOur team is dedicated to supporting new members.We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.#6.Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build.We also value in-person collaboration and time spent face-to-face.Our team affords engineers options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn't necessary.Basic Qualifications3+ years of non-internship professional software development experience3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience programming with at least one software programming languagePreferred Qualifications3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor's degree in computer science or equivalentExpertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architecturesExperience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCmDemonstrated experience with NVIDIA PTX and/or AMD GPU ISAExperience developing high performance libraries for HPC applicationsProficiency in low-level performance optimization for GPUsExperience with LLVM/MLIR backend development for GPUsKnowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backendsExperience with parallel programming and optimization techniquesUnderstanding of GPU memory hierarchies and optimization strategiesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers.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.Posted: January 16, **** (Updated 2 days ago)#J-*****-Ljbffr
