Lavori attuali relativi a Post-Silicon Systems Validation Engineer, Annapurna Labs - Lazio - Amazon


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    Software Development Engineer II, Post Silicon Validation Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers.Our Silicon Validation team validates next-generation machine learning accelerators that power AWS's cloud computing infrastructure.The role spans validation of the...


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    Sr.Power Engineer, Annapurna Labs, Machine Learning Hardware • Rome, ItalyKey Job ResponsibilitiesDrive improvements in availability and efficiency for power on AWS servers, including enhanced designs, testing, and manufacturing.Identify and drive process improvements and automation in power design, validation, manufacturing, and field testability.Develop...


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    A leading engineering firm is seeking a System Validation Engineer in Naples, Campania, Italy.The successful candidate will ensure compliance of systems to customer requirements and prepare comprehensive test plans.Required qualifications include a Master's degree in Engineering and 3-5 years of technical experience in a railway environment.Strong skills in...


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    Overview 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...


  • Lazio, Italia Coca A tempo pieno

    ASIC Validation Engineer, Blink/Ring ASIC TeamRomaEUR ***************5 giorni faASIC Validation Engineer, Blink / Ring ASIC TeamOverviewJoin the team that delivers highly differentiated silicon into Blink and Ring battery-powered devices.Our team works on state-of-the-art SoCs in a vertically integrated team environment to deliver products customers...


  • Lazio, Italia Amazon A tempo pieno

    ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs The 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...


  • Lazio, Italia Amazon A tempo pieno

    ASIC Validation Engineer, Blink/Ring ASIC Team Join the team which delivers highly differentiated silicon into Blink and Ring battery powered devices.Our team works on state-of-the-art SoCs in a vertically integrated team environment to deliver products our customers love.Drive early architectural and micro-architectural trade-offs to reduce time-to-revenue...


  • Lazio, Italia Etica Lavoro Srl A tempo pieno

    ASIC Validation Engineer, Blink/Ring ASIC TeamRomaEUR **************** giorni faOverviewJoin the team that delivers highly differentiated silicon into Blink and Ring battery-powered devices.Our team works on state-of-the-art SoCs in a vertically integrated team environment to deliver products customers love.Drive early architectural and micro-architectural...


  • Lazio, Italia Etica Lavoro Srl A tempo pieno

    A leading technology company in Roma is seeking an ASIC Validation Engineer to join their Blink/Ring ASIC team.This role involves defining architecture specifications, evaluating third-party IP blocks, and ensuring high-quality design RTL.Candidates should have a Bachelor's degree in Electrical Engineering or a related field, alongside strong debugging and...


  • Lazio, Italia Amazon A tempo pieno

    Sr.Physical Design Engineer, Annapurna Labs Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.Custom SoCs (System...

Post-Silicon Systems Validation Engineer, Annapurna Labs

10 ore fa


Lazio, Italia Amazon A tempo pieno

Annapurna Labs, is an organization within AWS, that is responsible for building custom silicon and software for AWS customers.With development centers in the U.S. and Israel, Annapurna is at the forefront of innovation by combining cloud scale with the world's most talented engineers.The Annapurna team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations.As part of Annapurna Labs Silicon Validation team, you'll have the opportunity to validate the next generation of cloud computing machine learning accelerators.You'll experience what it's like to work in a fast-paced, innovative, and start-up like environment filled with some of the brightest minds in the industry.The work we do is not only cutting-edge and internet-scale but also deeply important to our customers.The team's validation is used to test every component of our hardware and software to come together into products that our customers use for Machine Learning acceleration.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.The scope of this role includes validation of the vertical stack of silicon, PCB, high-speed components e.g., HBM, PCIe and chip-to-chip, inter-systems and system-to-system.Diving deep into new technology hardware components and scaling technologies that power our machine learning boards and servers at scale.As a Senior Validation engineer, you are responsible for validating the chip and system architecture for the next generation Machine Learning Acceleration (MLA) product family.You work closely with design, software & architecture teams and develop in-depth chip and system validation plans, execute on the validation plans, debug and take the MLA product to successful production ramp.This includes validating the design to achieve the best performance, identifying bottlenecks and working with design/architecture teams to resolve them.Our work does not stop at production ramp, we continue to support our servers in the data center through their lifecycle.A Day in the Life- Architect system validation strategies- Develop system validation methodologies and infrastructures for validating machine learning HW and neural networks- Evaluate and improve performance of Machine Learning systems- Work with other functional teams to ensure delivery of high quality systems to AWS data centers- Own validation schedules and reporting of progress metrics- Provide technical mentoring for junior team membersBasic Qualifications- Experience with general troubleshooting/debugging of hardware, or experience in computer architecture- 3+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience.- Experience with Linux environments and Git.Preferred Qualifications- Experience with Machine Learning Hardware/Software Architecture- Experience with CI/CD- Experience with EDA Simulations or EmulationAmazon 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, please visit for more information.Our compensation reflects the cost of labor across several U.S. geographic markets.The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market.Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.Amazon is a total compensation company.Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.For more information, please visit .This position will remain posted until filled.Applicants should apply via our internal or external career site.#J-*****-Ljbffr