[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 # Post-Silicon Systems Validation Engineer I, Annapurna Labs US, TX, Austin Operations Listed on Amazon’s official careers site. Posted July 16, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10475661/post-silicon-systems-validation-engineer-i-annapurna-labs) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Post-Silicon Systems Validation Engineer I, Annapurna Labs ## Job description Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before. Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on cutting-edge, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference Your work will span validation of the complete vertical stack—silicon, PCB, high-speed components (HBM, PCIe, chip-to-chip), inter-system connections, and system-to-system interfaces. You'll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale, ensuring every component of our hardware and software comes together into products our customers rely on. ### Key job responsibilities As a Validation Engineer on our Machine Learning Acceleration team, you'll own critical validation aspects across the entire product development lifecycle—from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple domains—from low-level hardware interfaces to high-level ML workloads—to deliver exceptional results. We are looking for candidates with: - Strong programming skills (Python, Lua, C/C++, Rust, Go, etc) - A solid understanding of computer architecture - Experience with AWS services, cloud infrastructure, firmware development (BIOS, BMC, drivers) - Validation experience in any of these areas: PCIe, HBM, GPUs, neural networks, ML HW architecture, and/or CI/CD - Familiarity with the validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debug ### A day in the life - Developing comprehensive validation strategies and detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release - Executing complex test plans from RTL simulation and emulation environments through physical silicon validation - Conducting hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers - Validating ML accelerator performance, accuracy, and reliability using real-world neural network workloads - Building test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scale - Collaborating across architecture, design, firmware, and software teams to triage failures and drive root cause analysis to closure - Reviewing test results, identifying patterns, and providing feedback to improve design quality and validation coverage - Supporting production systems in AWS data centers and addressing field issues as they arise ## At a glance - Posted by the employer: Jul 16, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 94 days - Location: US, TX, Austin[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10475661/post-silicon-systems-validation-engineer-i-annapurna-labs) ## More jobs at Amazon ### [ASIC Test Engineer, Annapurna Silicon Operations](https://jobs.opennash.com/companies/amazon/jobs/f4cb6a4c3176cd983a4c/) US, TX, Austin ### [Automation Engineer, Prime Video Trust & Safety](https://jobs.opennash.com/companies/amazon/jobs/253da092f7a76af63ea9/) US, TX, Austin ### [Cellular Systems Engineering Lead, Direct-to-Device, Amazon Leo](https://jobs.opennash.com/companies/amazon/jobs/7340fe5f4f1368e3b04e/) US, TX, Austin ### [Cloud Hardware Development Engineer I, Annapurna Labs, Early Career - 2027](https://jobs.opennash.com/companies/amazon/jobs/22a287ddb23c6fbd3474/) US, TX, Austin ### [Cloud Hardware Development Engineer Intern, Annapurna Labs - 2027](https://jobs.opennash.com/companies/amazon/jobs/33720fc33597b699772f/) US, TX, Austin ## Similar jobs at other companies ### [Post-Silicon Validation - Senior Engineer](https://jobs.opennash.com/companies/infineon-technologies/jobs/47881477a7587076ecf3/) Infineon Technologies · San Jose, CA ### [Post-Silicon Validation Technical Program Manager](https://jobs.opennash.com/companies/qualcomm/jobs/ef992789f9511bb0c4bb/) Qualcomm · Santa Clara, California, United States of America ### [Sr. Post-Silicon Validation Engineer, RF/Mixed-Signal](https://jobs.opennash.com/companies/qualcomm/jobs/bef5c10f661a76093247/) Qualcomm · San Diego, California, United States of America ### [Post-Silicon/Pre-Silicon Validation Engineer](https://jobs.opennash.com/companies/advanced-micro-devices-amd/jobs/7028c5677e86bf003cdc/) Advanced Micro Devices (AMD) · Santa Clara, California ### [Post-Silicon Validation and Methodology Engineer](https://jobs.opennash.com/companies/nvidia/jobs/4cd2b9d22467b000ba46/) NVIDIA · US, CA, Santa Clara [Jobs in Austin, TX](/locations/us/tx/austin/)[Jobs in Texas](/locations/us-tx/)[Operations jobs](/functions/operations/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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