Overview 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 Post-Silicon Validation team to validate the critical high-speed interconnects — HBM, PCIe, UCIe, and chip-to-chip links — that enable massive bandwidth and scaling in AWS's next-generation ML accelerators. You will ensure link integrity, performance, and reliability at the electrical and protocol layers across the full product lifecycle, from first silicon through production deployment in AWS data centers.You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on next generation, internet-scale technology that directly impacts how customers use Machine Learning acceleration. Your expertise will be instrumental in validating the I/O technologies that enable our custom silicon to scale beyond what was previously possible.Key responsibilities Validate high-speed interfaces (HBM, PCIe, UCIe, custom SerDes) end-to-end from PHY training through sustained trafficPerform electrical characterization: eye diagrams, jitter analysis, voltage margin, and equalization tuningExecute protocol-level compliance testing and interoperability validation against industry specificationsStress-test links across PVT (Process, Voltage, Temperature) corners and aging conditionsDebug link training failures, bit errors, and performance degradation using lab instrumentation and silicon debug featuresCollaborate with PHY design teams on equalization optimization, margin improvement, and silicon feedbackA day in the life Your primary focus is making sure the high-speed links on our AI chips actually work — reliably, at speed, and across all conditions. You will spend time in the lab: scoping eye diagrams, tracking down why a link dropped during a thermal sweep, or tuning equalization to squeeze out extra margin. Beyond the hands-on debug, you will also develop compliance test suites and build the characterization data that drives production readiness decisions.About the team The MLA Post-Silicon Validation team owns validation of AWS's next-generation ML training accelerators from first silicon through production deployment in AWS data centers. We sit at the intersection of hardware, firmware, and ML software — ensuring every layer of the stack performs, scales, and meets the quality bar. Our team culture values deep technical ownership, data-driven decisions, and a bias for action. We operate with startup agility backed by AWS-scale resources, and our work directly enables the cloud computing infrastructure that millions of customers rely on for AI/ML workloads.Basic Qualifications 3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience with RF measurement equipment, including: power meters, spectrum analyzers, vector signal generators, network analyzers, oscilloscopesBachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering, or experience in test setup automation using MATLAB, Python, or Pearl3+ years of hands-on experience validating or characterizing at least one high-speed interface technology (HBM, PCIe, DDR, SerDes, or UCIe)Proficiency with signal integrity measurement techniques: eye diagram analysis, jitter decomposition, and voltage/timing margin assessmentFamiliarity with at least one interface specification standard (JEDEC HBM/DDR, PCI-SIG PCIe, or UCIe consortium)Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceExperience with HBM PHY training sequences and characterizationKnowledge of forward error correction (FEC) and link reliability metrics (BER, MTBF)PCB and package-level signal integrity awareness (S-parameters, channel modeling)Experience with multi-die or chiplet architectures and die-to-die interconnect validationFamiliarity with equalization techniques (CTLE, DFE, FFE) and adaptive tuningAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at TX, Austin - 143,700.00 - 194,400.00 USD annuallyPosted: May 29, 2026 (Updated about 2 hours ago)Posted: May 1, 2026 (Updated about 6 hours ago)Posted: April 9, 2026 (Updated about 7 hours ago)Posted: May 22, 2026 (Updated about 9 hours ago)Posted: May 21, 2026 (Updated about 19 hours ago)Share this job Important FAQs for current Government employeesBefore proceeding, please review the following FAQs is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.#J-18808-Ljbffr