Post-Silicon Systems Validation Engineer, Annapurna Labs

Amazon Web Services (AWS); Austin (TX); On-site; USD 144,000 - 194,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. in Austin seeks a skilled Silicon Validation Engineer to validate next-generation ML accelerators powering AWS infrastructure.

You will join a fast-paced, startup-like environment and work across silicon, PCB, high-speed interfaces, and software to deliver reliable hardware and software products. Responsibilities include developing validation strategies, executing tests from RTL to silicon, hands-on bring-up with lab equipment, and building CI/CD pipelines to enable

Qualifications

• 3+ years of non-internship design or architecture experience
• Experience with Machine Learning and ML fundamentals, or PyTorch/JAX experience
• Bachelor's degree or equivalent in CS/engineering/math

Responsibilities

• Developing validation strategies and detailed test plans from silicon bring-up to product release
• Executing complex test plans from RTL simulation and emulation to silicon validation
• Hands-on silicon bring-up and debug in lab with oscilloscopes and protocol analyzers
• Validating ML accelerator performance, accuracy and reliability on real workloads
• Building CI/CD pipelines and automated regression for scalable validation

Skills

Python

C/C++

Rust

Go

Computer architecture

ML fundamentals

CI/CD

Debugging

Education

Bachelor's degree in Computer Science or related field

Tools

SystemVerilog/UVM

VCS

Questa

Xcelium

Palladium

Zebu

Veloce

Job description

Description Annapurna Labs, an AWS organization with development centres 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.

Annapurna Labs, an AWS organization with development centres 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. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships 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.

Key job responsibilities

We Are Looking For Candidates With

• Strong programming skills (Python, Lua, C/C++, Rust, Go, etc)
• A solid understanding of computer architecture
• Experience with AWS services, cloud infrastructure, 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

A day in the life

• Developing comprehensive validation strategies and detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release
• Executing complex test plans from RTL simulation and emulation environments through physical silicon validation
• Conducting hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers
• Validating ML accelerator performance, accuracy, and reliability using real-world neural network workloads
• 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
• Reviewing test results, identifying patterns, and providing feedback to improve design quality and validation coverage
• Supporting production systems in AWS data centres and addressing field issues as they arise

Basic Qualifications

• Experience programming with at least one software programming language
• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 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, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• 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), or 1+ years of continuous integration and continuous delivery (CI/CD) experience
• 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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

Company

Annapurna Labs (U.S.) Inc.

Job ID: A10446098