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

Amazon Web Services (AWS); Austin (TX); On-site; USD 168,100 - 227,400; Full time

Job summary

Annapurna Labs, an AWS organization, seeks a Silicon Validation Engineer to validate ML accelerators powering AWS infrastructure. You will work on silicon, PCB, and high‑speed interfaces, ensuring products meet performance and quality standards.

You will collaborate with architecture, RTL design, firmware, and software teams, develop test plans, and drive CI/CD and automation while mentoring junior engineers.

Qualifications

• 5+ years of programming experience in at least one language.
• Bachelor's degree or above in computer science, computer engineering, or related field.
• 5+ years of non‑internship system test development, code reviews, and automated deployments.
• Experience with Linux environments and Git.
• Experience with server hardware and debug tools.

Responsibilities

• Lead and own validation across design validation through post‑silicon validation and production support.
• Collaborate with architecture, RTL, firmware, and software teams to ensure AI/ML accelerators meet quality and performance standards.
• Bridge domains from low‑level hardware interfaces to high‑level ML workloads to deliver results.

Skills

Python

C/C++

Rust

Go

Lua

Git

Linux

SystemVerilog/UVM

CI/CD

Education

Bachelor's degree in CS/CE or related field

Tools

VCS

Questa

Xcelium

Palladium

Zebu

Job description

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 job 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.
• Bridge multiple domains and broad scope of impact – from low‑level hardware interfaces to high‑level ML workloads – to deliver exceptional results.

We Are Looking For Candidates With

• 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 PCIe, HBM, GPUs, neural networks, or 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

A day in the life

• Develop comprehensive validation strategies and lead new methodologies to improve coverage and root‑cause resolution.
• Create detailed test plans covering functional, performance, power, and stress testing from silicon bring‑up to product release.
• Mentor and provide direction to junior validation engineers.
• Execute complex test plans from RTL simulation through physical silicon validation.
• Debug complex issues, including silicon bring‑up and lab debugging with 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 coverage.
• Deliver new tests to production systems in AWS data centers and manufacturing to improve fleet health.

Basic Qualifications

• 5+ years of programming with at least one software programming language.
• Bachelor's degree or above in computer science, computer engineering, or related field.
• 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.

Preferred Qualifications

• Experience with Machine Learning Hardware/Software Architecture.
• Experience with CI/CD.
• Experience with EDA simulations or emulation.

Amazon 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.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

USA, CA, Cupertino – 193,300.00 – 261,500.00 USD annually.

USA, TX, Austin – 168,100.00 – 227,400.00 USD annually.

Company: Annapurna Labs (U.S.) Inc.

Job ID: A3112868