Product Test Engineer - Machine Learning Hardware, Annapurna Labs

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 agoeven 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.

Were seeking highly skilled and motivated Product Test Engineers to join our Machine Learning Acceleration team at Annapurna Labs. In this role youll 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 AWSs vast server fleet. Youll 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 youll be working at the intersection of custom silicon complex firmware and high-performance ML workloads.

Youll 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 AWSs 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 youre 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.


Key job 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

A day in the life
Why AWS
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Work/Life Balance
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Mentorship and Career Growth
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Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

* Bachelors degree in Computer Engineering Electrical Engineering or related field
* 3 years in system-level product testing
* Strong programming skills in Python C/C
* Experience with Linux-based systems and scripting
* Understanding of computer architecture and system-on-chip (SoC) designs

Preferred Qualifications:
* Experience working in high-volume manufacturing environments particularly with ODM/CM partners
* Experience implementing and maintaining test solutions at scale
* Experience with ML/AI hardware systems and accelerators
* Familiarity with server and data center environments
* Knowledge of hardware/software co-design and validation techniques
* Experience with continuous integration and test automation frameworks
* Strong debugging and problem-solving skills at the system level
* Understanding of power management and thermal testing for high-performance systems
* Experience with performance profiling and optimization of ML workloads

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

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