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 ernet-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 your 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 WithStrong 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 ic 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 QualificationsExperience with general troubleshooting/debugging of hardware, or experience in computer architecture3+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience.Experience with Linux environments and Git.Preferred QualificationsExperience with Machine Learning Hardware/Software ArchitectureExperience with CI/CDExperience with EDA Simulations or EmulationAmazon 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annuallyCompanyAmazon Development Centre Canada ULCJob ID: A10453050
3 days ago