Software Development Engineer II, Post Silicon Validation (AWS)

Amazon; Austin (TX); On-site; USD 143,700 - 194,400; Full time

Benefits offered by this job

Health insurance

Life insurance

Employee assistance program

Mental health support

401(k) matching

Paid time off

Parental leave

Job summary

Amazon’s Annapurna Labs seeks a Software Development Engineer II for post-silicon validation of ML accelerators. You will validate silicon, PCB, high-speed components and interfaces, collaborating with architecture, RTL, firmware, and software teams to ensure system-level quality and performance.

You will drive test plans, develop validation strategies, and build CI/CD pipelines to enable scalable validation from silicon bring-up to production systems in AWS data centers.

Qualifications

• Bachelor’s degree in computer science, electrical engineering, or related field.
• 3+ years of hands-on post-silicon validation or system validation experience.
• Strong programming skills in Python, Lua, C/C++, Rust for production-quality test code.
• Experience validating complex SoCs, CPUs, or accelerators.
• Hands-on lab experience with hardware bring-up and debug equipment.
• Proficiency with Linux, Git, and SSH.
• Familiarity with RTL simulation (SystemVerilog/UVM) and emulation is a plus.

Responsibilities

• Own validation across the full product lifecycle from RTL through post-silicon validation.
• Collaborate with architecture, RTL design, firmware, and software teams to ensure quality.
• Develop comprehensive validation strategies and test plans for ML accelerators.
• Validate ML accelerator performance, accuracy, and reliability with real workloads.
• Build test infrastructure, CI/CD, and automated regression frameworks.
• Triage failures and drive root-cause analysis to closure across teams.
• Support production systems in AWS data centers and address field issues.

Skills

Python

Lua

C/C++

Rust

Go

Computer architecture

AWS services

Firmware development

PCIe

HBM

CI/CD

SystemVerilog/UVM

Debugging

Education

Bachelor’s degree or above

Job description

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' cloud computing infrastructure. You will work in a fast‑paced, startup‑like environment alongside some of the brightest minds 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 and dominating 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 debugging

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

• 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

Preferred Qualifications

• 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 debugging

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Amazon also offers comprehensive benefits, including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, Supplemental life plans, Employee Assistance Program, 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.

Salary: USA, TX, Austin – $143,700.00 – $194,400.00 USD annually.