Sr. Physical Design Engineer, Annapurna Labs
3 weeks ago
Sr. Physical Design Engineer, Annapurna LabsJoin to apply for the Sr. Physical Design Engineer, Annapurna Labs role at Amazon Web Services (AWS)Sr. Physical Design Engineer, Annapurna Labs2 weeks ago Be among the first 25 applicantsJoin to apply for the Sr. Physical Design Engineer, Annapurna Labs role at Amazon Web Services (AWS)Get AI-powered advice on this job and more exclusive features.DescriptionAmazon 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.DescriptionAmazon 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 on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, Trainium Systems (our custom designed machine learning inference and training datacenter servers). Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Physical Design Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.Key job responsibilitiesWork with RTL/logic designers to drive architectural feasibility studies, explore power-performance-area tradeoffs for physical design closureDrive IO/Core block physical implementation through synthesis, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, ECO and sign-offDevelop physical design methodologiesEvaluate 3rd party IP and provide recommendationsBe a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teamsAbout The TeamInclusive 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.Basic QualificationsBS + 8yrs or MS + 6yrs in EE/CS6+ years in ASIC Physical Design from - RTL-to-GDSII in either 7nm, 14/16nm, 20nm, or 28nmBlock Design using EDA tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) including synthesis, equivalency verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECODeep understanding on sign-off activities (timing, ir/em, physical verification)Scripting experience with Tcl, Perl or PythonPreferred QualificationsExpertise using CAD tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) develop flows for synthesis, formal verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO4+ years in integrating IP and ability to specify and drive IP requirements in the physical domain.Thorough knowledge of device physics, custom/semi-custom implementation techniquesExperience solving physical design challenges across various technologies such as DDR, PCIe, fabrics etc.Experience in extraction of design parameters, QOR metrics, and analyzing trendsAbility to provide mentorship, guidance to junior engineers and be a very effective team playerMeets/exceeds Amazon’s leadership principles requirements for this roleMeets/exceeds Amazon’s functional/technical depth and complexity for this roleAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Annapurna Labs (U.S.) Inc.Job ID: A2910147Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionManufacturing and EngineeringIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Amazon Web Services (AWS) by 2xSign in to set job alerts for “Senior Physical Design Engineer” roles.Senior Mechanical Engineer – Interconnect DesignSr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration teamSenior Quality Engineer (Design Control & Risk Management)Senior Quality Engineer (Design Controls and V&V)Senior Quality Engineer (Design Control and Risk Management)San Jose, CA$180,000.00-$230,000.005 days agoSan Jose, CA$175,000.00-$225,000.006 days agoSunnyvale, CA$173,000.00-$249,000.002 weeks agoSoC Physical Design Engineer, ImplementationPhysical Design Engineer, Custom DatapathSan Jose, CA$165,700.00-$232,900.001 week agoMountain View, CA$90,000.00-$110,000.003 weeks agoMountain View, CA$90,000.00-$110,000.003 weeks agoSunnyvale, CA$142,000.00-$203,000.002 weeks agoSr. SOC/ASIC Physical Design Engineer (Silicon Engineering)Sunnyvale, CA $170,000 - $230,000 2 weeks agoStaff Physical Design Engineer (up to 300-350k package)San Jose, CA $150,000 - $190,000 2 weeks agoASIC/SOC Silicon Physical Design EngineerMountain View, CA $120,000 - $400,000 5 months agoSenior Thermal Solutions Design EngineerWe’re unlocking community knowledge in a new way. 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Cupertino, United States Annapurna Labs (U.S.) Inc. Full timeAnnapurna Labs (our organization within AWS Utility Computing) 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...
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Cupertino, United States Annapurna Labs (U.S.) Inc. Full timeThe 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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Cupertino, United States Annapurna Labs Full timeThe 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...
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Cupertino, United States Annapurna Labs Full timeThe 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...
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Cupertino, United States Annapurna Labs Full timeThe 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...
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Cupertino, United States Annapurna Labs (U.S.) Inc. Full timeThe 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...
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Cupertino, United States Annapurna Labs (U.S.) Inc. Full timeThe 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...
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2 weeks ago
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