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.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 Responsibilities- 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.- 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.- Bridge multiple domains—from low‑level hardware interfaces to high‑level ML workloads—to deliver exceptional results.A Day in the Life- Develop comprehensive validation strategies and detailed test plans covering functional, performance, power, and stress testing from silicon bring‑up to product release.- Execute complex test plans from RTL simulation and emulation environments through physical silicon validation.- Conduct hands‑on silicon bring‑up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers.- Validate ML accelerator performance, accuracy, and reliability using real‑world neural network workloads.- Build test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scale.- Collaborate across architecture, design, firmware, and software teams to triage failures and drive root‑cause analysis to closure.- Review test results, identify patterns, and provide feedback to improve design quality and validation coverage.- Support production systems in AWS data centers and address field issues as they arise.QualificationsBasic- Strong programming skills (Python, Lua, C/C++, Rust, Go, etc).- Solid understanding of computer architecture.- Experience with AWS services, cloud infrastructure, firmware development (BIOS, BMC,



drivers).- Validation experience in 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.- Experience troubleshooting/debugging hardware or in computer architecture.- 3+ 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- Experience with Machine Learning Hardware/Software Architecture.- Experience with CI/CD.- Experience with EDA simulations or emulation.The base salary range for this position is 114,800.00 – 191,800.00 CAD annually. 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.Amazon is an equal‑chance 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.#J-18808-Ljbffr

📌 Post-Silicon Systems Validation Engineer, Annapurna Labs - C$114,800 - C$191,800 A Year (Toronto)
🏢 Annapurna Labs
📍 Toronto