Amazon is looking for a Hardware Engineer - ML Acceleration to join Annapurna Labs in Seattle. This senior role involves designing and validating next-generation ML chips and server integration for AWS. Responsibilities include optimizing hardware for data centers and applying new technologies at scale. The ideal candidate has a Bachelor's in Electrical Engineering, strong debugging skills, and experience verifying complex systems. The position offers competitive salary and comprehensive benefits including health insurance and 401(k) matching.
Qualifications
Bachelor's degree in Electrical Engineering or a related field.
Strong debugging skills to identify architecture and performance bugs.
Experience with verification from IP blocks to full system testing.
Responsibilities
Design and optimize hardware for AWS data centers.
Lead application of new technologies to large-scale server deployments.
Collaborate with thought leaders across multiple technology areas.
Skills
Debugging skills
Verification at multiple logic levels
Knowledge of ARM and DSP ISAs
Experience with RF standards
Automation scripting (Python or Perl)
Education
Bachelor’s degree in Electrical Engineering or related field
Master’s degree in Electrical or Communications Engineering or related field
Job description
Amazon is looking for a Hardware Engineer - ML Acceleration to join Annapurna Labs in Seattle. This senior role involves designing and validating next-generation ML chips and server integration for AWS. Responsibilities include optimizing hardware for data centers and applying new technologies at scale. The ideal candidate has a Bachelor's in Electrical Engineering, strong debugging skills, and experience verifying complex systems. The position offers competitive salary and comprehensive benefits including health insurance and 401(k) matching.