Software Development Engineer II, Post Silicon Validation

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. 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

As a Validation Engineer on our Machine Learning Acceleration team, you'll 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. You'll 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. This role

requires bridging multiple domains—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)

- 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 centers and addressing field issues

as they arise Basic

Qualifications

• - 3+ years of non-internship professional
• software development experience
• - 2+ years of non-internship design or architecture (design patterns,
• reliability and scaling) of new and existing systems experience
• - Experience programming with at least one software programming language
• - - 3+ years of hands-on post-silicon validation or system validation
• engineering experience
• - - Strong programming skills (Python, Lua, C/C++, Rust) for production-quality
• test code
• - - Experience developing and executing validation test plans for complex SoCs,
• CPUs, or accelerators
• - - Hands-on lab experience with hardware bring-up and debug equipment
• - - Solid understanding of computer architecture and digital design principles
• - - Proficiency with Linux environments, Git, and SSH
• - - Strong problem-solving skills and ability to debug complex hardware/software
• issues

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
• - Knowledge of AWS or cloud technologies
• - - Experience building automated test frameworks and CI/CD pipelines
• - - Deep domain expertise in PCIe (Gen4/Gen5/Gen6) or HBM2/HBM3
• - - Experience with ML hardware architectures, neural network accelerators, or
• GPU validation
• - - Hands-on experience with emulation platforms (Palladium, Zebu, Veloce)
• - - Firmware development experience (BIOS, BMC, drivers)
• - - Experience with EDA simulation tools and SystemVerilog/UVM testbenches
• - - Track record of leading validation efforts and mentoring engineers
• - - Highly motivated self-starter comfortable with ambiguity and fast-paced
• environments
• - - A systems thinker who understands the full validation lifecycle—from RTL
• simulation and emulation test bench development through silicon failure analysis
• and debug.
• 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
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• [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
• [https://amazon.jobs/en/benefits].
• USA, TX, Austin - 143,700.00 - 194,400.00 USD annually