Post-Silicon Systems Validation Engineer, Annapurna Labs

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.

About the role

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 to dominate in AI training and inference.

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.

Responsibilities

• 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

Requirements

• Experience programming with at least one software programming language (Python, Lua, C/C++, Rust, Go, etc.)
• Solid understanding of computer architecture
• Experience with AWS services, cloud infrastructure, or firmware development (BIOS, BMC, drivers)
• Validation experience in any of these areas: 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

Qualifications

• 3+ years of non-internship design or architecture experience (design patterns, reliability, and scaling) of new and existing systems
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience working with PyTorch or JAX software
• Bachelor's degree in computer science, engineering, mathematics, or equivalent, or experience in Java, C++, Python, or a related language
• Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems, or experience in development in the last 3 years
• Strong understanding of computer architecture fundamentals including memory hierarchies (caches, DRAM, HBM), compute pipelines, and interconnect topologies
• Experience applying statistical methods, regression analysis, and data visualization techniques to interpret performance data and drive optimization decisions

Preferred Qualifications

• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
• Bachelor's degree in computer science or equivalent
• Experience with machine learning (ML) tools and methods
• 1+ years of continuous integration and continuous delivery (CI/CD) experience
• Experience with EDA Simulations or Emulation

Pay

USA, TX, Austin - $143,700.00 - $194,400.00 USD annually

Benefits

• Sign-on payments and restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans)
• Employee Assistance Program (EAP) and Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Learn more about our benefits at amazon.jobs/en/benefits.