Amazon Web Services Taiwan Limited
Technology
ProductTestEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Product Test Engineer at Amazon Web Services Taiwan Limited. Skills: ML hardware testing, System-level challenges, Test infrastructure. Design system-level test strategies. Implement system-level test strategies”
What You'll Achieve.
Ensure highest standards of reliability; Ensure highest standards of efficiency
Industry & Context.
Debugging complex interactions; Resolving integration issues; Solving complex system-level challenges
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 5+ years integration, testing and automation experience, Knowledge of C/C++, Python, Java or Perl, Experience in Linux/RHEL or Ubuntu/Solaris, Experience with programming/scripting, Knowledge of SoC architecture
Nice to Have
Experience in high-volume manufacturing, Experience developing high quality test plans, Experience developing test designs, Experience developing test strategies, Experience developing test execution, 4+ years test automation frameworks building experience, 4+ years test automation tools building experience, Experience debugging and systems analysis, Experience programmatically testing products, Experience measuring test coverage, Experience developing best automation, Experience driving testability, Experience driving diagnostic
What You'll Do.
Design system-level test strategies
Implement system-level test strategies
Develop functional tests
Develop performance tests
Create scalable test infrastructure
Maintain scalable test infrastructure
Implement product bring-up procedures
Implement first-boot test procedures
Drive improvements in test coverage
Drive improvements in product quality
Drive improvements in manufacturing efficiency
Collaborate with hardware teams
Collaborate with software teams
Ensure end-to-end product validation
Analyze system-level test data
Identify integration issues
Resolve integration issues
Debug hardware/software interactions
Develop documentation for test procedures
Develop documentation for manufacturing processes
Maintain documentation for test procedures
Maintain documentation for manufacturing processes
Optimize test workflows
How You'll Work.
Team & Collaboration
Cross-functional teams; Hardware designers; Software engineers; Operations specialists
Full Job Description
Shape the future of AI infrastructure! Join AWS and develop system-level test solutions for our innovative ML acceleration hardware, deployed across our global server fleet. Annapurna Labs (our organization within AWS) design hardware and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We're seeking highly skilled and motivated Product Test Engineers to join our Machine Learning Acceleration team at Annapurna Labs. In this role, you'll be at the forefront of validating and ensuring the quality of our advanced ML hardware systems as they transition from development to large-scale deployment across AWS's vast server fleet. You'll be responsible for designing and implementing comprehensive system-level test strategies that cover the full spectrum of our ML acceleration products, from individual components to fully integrated systems. This position requires a unique blend of hardware knowledge, software expertise, and systems thinking, as you'll be working at the intersection of custom silicon, complex firmware, and high-performance ML workloads. You'll collaborate closely with cross-functional teams including hardware designers, software engineers, and operations specialists to develop robust test solutions that can scale to meet the demands of AWS's global infrastructure. Your work will be crucial in identifying and resolving integration issues, optimizing system performance, and ultimately ensuring that our ML acceleration products meet the highest standards of reliability and efficiency in real-world data center environments. If you're passionate about pushing the boundaries of ML hardware testing and have a knack for solving complex system-level challenges, we want y
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