Amazon Web Services (AWS) · 1 week ago
Product Test Engineer - Machine Learning Hardware, Annapurna Labs
Austin, TX
Full-time
Onsite
Mid Level
3+ years expAmazon Web Services (AWS) is seeking highly skilled Product Test Engineers to join their Machine Learning Acceleration team at Annapurna Labs. The role involves developing system-level test solutions for ML acceleration hardware and ensuring the quality of these systems as they transition from development to large-scale deployment.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Qualification
Required
Bachelor's 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
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
Benefits
Work/Life Balance
Mentorship and Career Growth
Diverse Experiences
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
2026-01-14
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2026-01-14
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