Sr. Post-Silicon Systems Software Validation Engineer, Annapurna Labs

About the role

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.

Responsibilities

• Lead and 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.
• Develop comprehensive validation strategies and leads new methodologies to improve validation coverage and time to root cause.
• Mentor and provide direction to junior validation engineers.
• Execute complex test plans from RTL simulation and emulation environments through physical silicon validation.
• Hand complex debug including 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.
• Deliver new tests to production systems in AWS data centers and manufacturing to improve fleet health.

Requirements

• Strong programming skills (Python, Lua, C/C++, Rust, Go, etc)
• Solid understanding of computer architecture and chip/system validation methodologies
• Experience with cloud infrastructure and CI/CD
• Firmware testing and/or development (BIOS, BMC, drivers)
• Domain expertise in any of these areas: PCIe, HBM, GPUs, neural networks, ML HW architecture
• Knowledge of the full validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debug

Qualifications

• 5+ years of programming with at least one software programming language experience
• Bachelor's degree or above in computer science, computer engineering, or related field, or equivalent combination of education and experience
• 5+ 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
• Experience with server hardware and debug tools