Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs
Amazon - Austin, Texas, USA
Posted May 21, 2026
Benefits
- Parental leave
- Not verified not verified - source not recorded; timestamp not recorded
- Non-birth-parent leave
- Not verified not verified - source not recorded; timestamp not recorded
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Not verified
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Market context
- Median wage (BLS OEWS)
- $111,944 national median
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
92% above the BLS national median for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
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- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs Austin, Texas, USA Would you like to develop the Next Generation of AI accelerator compute systems? Lead bleeding-edge HW development projects? Have you heard of Amazon Web Services (AWS) Project Rainer? This is the opportunity to be a part of a fast-moving innovation team that is changing the world of AI at massive scale. At AWS Trainium we develop a complete vertical stack system, from our own Silicon to Hardware to Software and deploy directly to our customers in our own Data Centers We are seeking experienced Lead System Design Engineers to build the next generation of our cloud server infrastructure, Project Rainier. Project Rainier is a massive $11 billion Amazon Web Services (AWS) AI infrastructure initiative, featuring one of the world's largest compute clusters dedicated to training and running Anthropic's Claude AI models. It utilizes over 500,000 custom Trainium2 chips, designed for high-performance AI training. As a member of the AWS Trainium Machine Learning Acceleration team you'll be responsible for the System design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing industry, and
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