[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Amazon · Cupertino, CA # Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning US, CA, Cupertino Senior individual contributor Data & Analytics Listed on Amazon’s official careers site. Posted October 20, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10583679/sr-pd-methodology-engineer-annapurna-labs-cloud-scale-machine-learning) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning ## Job description Annapurna Labs (our organization within Amazon 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 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 Amazon 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 job responsibilities Define, develop and deploy innovative STA/EMIR signoff and physical design methodologies (RTL2GDS) for ML Accelerator chips in advanced nodes Drive Optimizations in CAD flows/methodologies for Timing/EMIR signoff, PPA and TAT improvements Work with EDA tool vendors to evaluate new methods, resolve bugs, improve usability. Fine tune cloud infrastructure to improve compute and storage utilization for physical design work. Interface directly with RTL, Physical Design, Package Design, DFT teams to improve methodologies and efficiencies. Be able to independently troubleshoot digital tool flow usage and deploy solutions; Fluent in scripting languages such as TCL, Python, etc. and able to build scalable and efficient flows to support parallel design developments Create Dashboard and Central reports for project tracking and visualizing QoR/stats A day in the life ## At a glance - Posted by the employer: Oct 20, 2026 - First seen by OpenNash: Oct 25, 2026 - Last checked: Nov 8, 2026 - Listed for: 19 days - Location: US, CA, Cupertino[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10583679/sr-pd-methodology-engineer-annapurna-labs-cloud-scale-machine-learning) ## Hiring at Amazon - Open jobs: 21,930 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Amazon ### [Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning](https://jobs.opennash.com/companies/amazon/jobs/4d037e2a9e5dbc779fb3/) US, CA, Cupertino ### [Sr. Physical Design Engineer, Annapurna Labs](https://jobs.opennash.com/companies/amazon/jobs/aaa8bf681d7c589af20b/) US, CA, Cupertino ### [Sr. Physical Design Verification Engineer, Annapurna Labs](https://jobs.opennash.com/companies/amazon/jobs/13d215115d00d6e14a0e/) US, CA, Cupertino ### [Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning](https://jobs.opennash.com/companies/amazon/jobs/da35566d7a4771ffec41/) US, TX, Austin ## Similar jobs at other companies ### [ASIC Timing and Methodology Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/9a3a66e840e1ae3025fb/) Qualcomm · Tijuana, Baja California, Mexico ### [Low Power Design/Methodology Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/bca7be857c43dba101a7/) Qualcomm · Tijuana, Baja California, Mexico ### [Staff Engineer Digital Verification and Methodology](https://jobs.opennash.com/companies/infineon-technologies/jobs/d9074188ee6fe932ddd6/) Infineon Technologies · Lexington, KY ### [Director, ORM Methodology, Governance & Reporting](https://jobs.opennash.com/companies/aegon/jobs/1e46c68a0960a70329e8/) Aegon · Cedar Rapids, Iowa ### [Senior Staff Engineer, Digital Verification and Methodology](https://jobs.opennash.com/companies/infineon-technologies/jobs/be667633209f920a219e/) Infineon Technologies · Lexington, KY, USA [Jobs in Cupertino, CA](/locations/us/ca/cupertino/)[Jobs in California](/locations/us-ca/)[Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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