Software Development Engineer II, Post Silicon Validation

Amazon • Austin, TX

1d

About The Position

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.

Requirements

• Bachelor's degree or above in computer science, electrical engineering, or related field
• 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

Nice To Haves

• 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)
• Knowledge of AWS services and cloud infrastructure
• 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.

Responsibilities

• 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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level