Product Test Engineer - Machine Learning Hardware, RRL Technical Engineering

Amazon • Florence, KY

2d

About The Position

Shape the future of AI infrastructure! Join RRL and develop system-level test
solutions for our innovative ML acceleration hardware, deployed across our
global server fleet.

We're seeking highly skilled and motivated Product Test Engineers to join our
RRL test & repair operation. In this role, you'll be at the forefront of
validating and ensuring that test infrastructure is deployed and operating at
required scale. 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 RRL'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 you on our team.

Requirements

• 2+ years of Linux systems administration and/or development experience
• 1+ years of work in at least two of these languages: Python, Java, Perl, PHP, Ruby or Bash/Shell experience
• Bachelor's degree in Computer Science or other technical degree or related experience
• Knowledge of networking fundamentals
• Experience working in a 24/7 production environment
• Experience in Linux systems administration and/or development
• Experience working in at least two of these languages: Python, Java, Perl, PHP, Ruby or Bash/Shell

Nice To Haves

• 2+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience
• 1+ years of building scripts, tooling, and automation for large-scale computing environments experience
• Knowledge of configuration management systems, such as Puppet, Chef, Ansible, or related systems
• Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration
• Experience in network capture and systems troubleshooting
• Experience building scripts, tooling, and automation for large-scale computing environments

Responsibilities

• Design and implement system-level test strategies for ML acceleration products
• Develop comprehensive functional and performance tests for complete ML systems
• Create and maintain scalable test infrastructure for high-volume product validation
• Implement product bring-up and first-boot test procedures
• Drive improvements in test coverage, product quality, and manufacturing efficiency
• Collaborate with hardware and software teams to ensure end-to-end product validation
• Analyze system-level test data to identify and resolve integration issues
• Debug complex hardware/software interactions in a production environment
• Develop and maintain documentation for system test procedures and manufacturing processes
• Optimize test workflows to balance thoroughness with production efficiency

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