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# Software Development Engineer II, Post Silicon Validation

- **Company:** Amazon.com, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $143,700.0 - $194,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Board Bringup, Secure Shell (SSH), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Automation of Tests, BIOS, C++ (Programming Language), Cloud Computing, Code Review, Computer Programming, Continuous Integration, Software Debugging, Software Design Patterns, Logic Synthesis of Circuits, Microprocessors, Emulators, Firmware, Hardware Interface Design, Python (Programming Language), Linux System Administration, Lua (Scripting Language), Machine Learning, PCI Express, Software Engineering, System Testing, SystemVerilog, Strategies of Testing, Rust (Programming Language), Graphics Processing Unit (GPU), Git, Information Technology, AWS Data Analytics, Build Process, Machine Learning Operations, Software Coding, Software Version Control, Golang, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28133163/Software-Development-Engineer-Ii-Post-Silicon-Validation-Texas-Austin-7375

## About the Role

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, 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, 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.

## Description

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., 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