Sr. Physical Design Methodology Engineer, Annapurna Labs

5 giorni fa


Milano, Italia Amazon A tempo pieno

Sr.Physical Design Methodology Engineer, Annapurna LabsAnnapurna 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 been seen before, and deliver results that help our customers change the world.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 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 Methodology Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.Key ResponsibilitiesDefine, develop and deploy innovative physical design and verification methodologies (RTL2GDS) for ML Accelerator chips in advanced nodesDrive optimizations in CAD flows/methodologies for PPA and TAT improvementsWork with EDA tool vendors to evaluate new methods, resolve bugs, and improve usabilityFine-tune cloud infrastructure to improve compute and storage utilization for physical design workInterface directly with RTL, Physical Design, Package Design, DFT teams to improve methodologies and efficienciesIndependently troubleshoot digital tool flow usage and deploy solutionsFluent in scripting languages such as TCL, Python, etc. and build scalable and efficient flows to support parallel design developmentsCreate dashboards and central reports for project tracking and visualizing QoR/statsAbout the TeamOur 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.Our senior members enjoy one-on-one mentoring, thorough, but kind, code reviews.We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Basic QualificationsBS + 10 yrs or MS + 7 yrs in EE/CS5+ years developing physical design methodology or CAD flows in synthesis, PNR, and sign-off areas for advanced technology nodesProficient in programming/scripting languages (Perl, Python, C++)Solid understanding of ASIC physical design, and methodologies including synthesis, place and route, STA, IR, formal and physical verificationDemonstrated level of expertise in PD tools such as Innovus, ICC2, Fusion Compiler, STA, and Sign-OffProven track record of delivering metric-driven PPA flow development and supportPreferred QualificationsExpertise in high-performance, low-power physical design, and implementation techniques with industry standard synthesis, PnR, or Signoff toolsExcellent programming skills in languages like Python, Perl, TCL, Shell, etc.Good understanding of algorithms with emphasis on optimizing algorithmsKnowledge of technology nodes across foundriesExperience evaluating multiple vendor solutions and driving tool decisionsKnowledge of creating dashboards and status reports for various EDA tool outputs, QoR metrics and analyzing trends (synthesis, PNR, signoff etc)Experience with machine learningExcellent verbal and written communicationsAbility to work in dynamic work environment with changing needs and requirementsAbility to provide mentorship, guidance to junior engineers and be an effective team playerMeets/exceeds Amazon's leadership principles requirements for this roleMeets/exceeds Amazon's functional/technical depth and complexity for this roleInclusive Team CultureHere at AWS, it's in our nature to learn and be curious.Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony.Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.Mentorship & Career GrowthWe're continuously raising our performance bar as we strive to become Earth's Best Employer.That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Los Angeles County ApplicantsJob 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.CompensationOur 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 .This position will remain posted until filled.Applicants should apply via our internal or external career site.Equal Opportunity EmploymentAmazon is an equal-opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.We also comply with the Los Angeles County Fair Chance Ordinance, and provide accommodations for applicants with disabilities during the application and hiring process.For more information about accommodations, see .#J-*****-Ljbffr



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