Sr. Hardware Engineer – ML Acceleration, Annapurna Labs
Amazon Web Services (AWS) Utility Computing (UC) provides product innovations such as Amazon Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2). As part of the UC organization and the Annapurna Labs team, you will design silicon and software that accelerates innovation in AWS data centers.
In this role, you will be responsible for the design, optimization, and validation of AWS next‑generation machine‑learning chips, cards, and server integration. You’ll lead the application of new technologies to large‑scale server deployments, collaborating with thought leaders across multiple technology areas to deliver a world‑class customer experience.
Basic Qualifications
- Bachelor’s degree in Electrical Engineering or a related field
- Knowledge of UVM and Matlab
- Experience in communication theory, OFDM, MIMO, Digital/Wireless Communication Systems or RF engineering
- Experience with current and upcoming RF standards in cellular (4G/5G), WiMAX, 802.11ad, microwave backhaul, DVB‑S2 / DVB‑C, or related broadband wireless standards
Preferred Qualifications
- Master’s degree or Ph.D. in Electrical Engineering or related field
- Experience in RTL coding and debug, and in performance, power, area analysis and trade‑offs
- Experience with modern ASIC/FPGA design and verification tools
- Experience with SOC bring‑up and post‑silicon validation
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence; communicating effectively; following all federal, state, and local laws and company policies; and complying with the Los Angeles County Fair Chance Ordinance.
This position will remain posted until filled.
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