Software Development Engineer, Post Silicon Validation

DescriptionAnnapurna 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 inferenceYour 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 responsibilitiesAs 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 architectureExperience 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/CDFamiliarity with the validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debugA day in the lifeDeveloping comprehensive validation strategies and detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product releaseExecuting complex test plans from RTL simulation and emulation environments through physical silicon validationConducting hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzersValidating ML accelerator performance, accuracy, and reliability using real-world neural network workloadsBuilding test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scaleCollaborating across architecture, design, firmware, and software teams to triage failures and drive root cause analysis to closureReviewing test results, identifying patterns, and providing feedback to improve design quality and validation coverageSupporting production systems in AWS data centers and addressing field issues as they ariseBasic QualificationsBachelor's degree or above in computer science, electrical engineering, or related field3+ years of hands-on post-silicon validation or system validation engineering experienceStrong programming skills (Python, Lua, C/C++, Rust) for production-quality test codeExperience developing and executing validation test plans for complex SoCs, CPUs, or acceleratorsHands-on lab experience with hardware bring-up and debug equipmentSolid understanding of computer architecture and digital design principlesProficiency with Linux environments, Git, and SSHStrong problem-solving skills and ability to debug complex hardware/software issuesPreferred QualificationsExperience building automated test frameworks and CI/CD pipelinesDeep domain expertise in PCIe (Gen4/Gen5/Gen6) or HBM2/HBM3Experience with ML hardware architectures, neural network accelerators, or GPU validationHands-on experience with emulation platforms (Palladium, Zebu, Veloce)Knowledge of AWS services and cloud infrastructureFirmware development experience (BIOS, BMC, drivers)Experience with EDA simulation tools and SystemVerilog/UVM testbenchesTrack record of leading validation efforts and mentoring engineersHighly motivated self-starter comfortable with ambiguity and fast-paced environmentsA systems thinker who understands the full validation lifecycle-from RTL simulation and emulation test bench development through silicon failure analysis and debug.Amazon 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.USA, TX, Austin - 143,700.00 - 194,400.00 USD annually