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

About the role

Annapurna Labs, an AWS organization, builds custom silicon and software for AWS customers. The Silicon Validation team focuses on validating next-generation machine learning accelerators that power AWS's cloud computing infrastructure.

Responsibilities

• Developing comprehensive validation strategies and leading new methodologies to improve validation coverage and time to root cause.
• Executing complex test plans from RTL simulation and emulation environments through physical silicon validation.
• Validating ML accelerator performance, accuracy, and reliability using real-world neural network workloads.
• Mentoring and providing direction to junior validation engineers.
• Building test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scale.
• Collaborating across architecture, design, firmware, and software teams to triage failures and drive root cause analysis to closure.
• Handing complex debug including hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers.
• Reviewing test results, identifying patterns, and providing feedback to improve design quality and validation coverage.
• Delivering 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)
• A 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