[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Austin, TX # Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning US, TX, Austin Senior individual contributor Data & Analytics Listed on Amazon’s official careers site. Posted August 19, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10507410/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 physical design and verification methodologies (RTL2GDS) for ML Accelerator chips in advanced nodes Drive Optimizations in CAD flows/methodologies for 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: Aug 19, 2026 - First seen by OpenNash: Aug 20, 2026 - Last checked: Oct 18, 2026 - Listed for: 60 days - Location: US, TX, Austin[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10507410/sr-pd-methodology-engineer-annapurna-labs-cloud-scale-machine-learning) ## More jobs at Amazon ### [AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations](https://jobs.opennash.com/companies/amazon/jobs/cd168b00b12f100648a0/) US, TX, Austin ### [Business Intel Engineer, OIS/CXI Analytics, Ops Tech Solution Network Dev](https://jobs.opennash.com/companies/amazon/jobs/4c1f13c1bc14f0774161/) US, TX, Austin ### [Business Intelligence Engineer II, CDR Pillar 1 Strategy and DX](https://jobs.opennash.com/companies/amazon/jobs/a09b66d9fab5592585b8/) US, TX, Austin ### [Business Intelligence Engineer, Worldwide Defect Elimination Analytics](https://jobs.opennash.com/companies/amazon/jobs/7100375c089f33ef997e/) US, TX, Austin ### [Category Analyst, Category Analytics](https://jobs.opennash.com/companies/amazon/jobs/e721f37cf833f2b9c045/) US, TX, Austin ## Similar jobs at other companies ### [Power Methodology and Modeling Engineer - New College Grad 2026](https://jobs.opennash.com/companies/nvidia/jobs/c7a914340002c7c2b487/) NVIDIA · US, TX, Austin ### [ASIC Design Engineer, Tools and Methodology Development](https://jobs.opennash.com/companies/nvidia/jobs/0f787073cbfaa2e0042f/) NVIDIA · US, TX, Austin ### [ASIC Timing and Methodology Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/9a3a66e840e1ae3025fb/) Qualcomm · Tijuana, Baja California, Mexico ### [Emulation Performance Methodology & Debug Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/571d0163a463c21368ea/) Qualcomm · Tijuana, Baja California, Mexico ### [Senior Engineer Digital Verification and Methodology](https://jobs.opennash.com/companies/infineon-technologies/jobs/2d16b46260c7b36e8f08/) Infineon Technologies · Lexington, KY OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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