Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon Inc.; Cupertino (CA); On-site; USD 136,000 - 212,800; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

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

Hardware Engineer - ML Acceleration, Annapurna Labs

Annapurna Labs, a division of AWS, designs silicon and software that accelerates innovation for cloud solutions. Our custom chips, accelerators, and software stacks enable us to tackle technical challenges never seen before and deliver results that help customers change the world.

We are seeking a Hardware Design Engineer to define, design, and validate AWS’s next‑generation ML chips, cards, and server integration. As a senior member of our hardware team, you will lead the design and execution of PCIe and serdes topics, creating customized platforms that fit within AWS data center technology.

Responsibilities

As part of the Machine Learning Acceleration team, you will design and optimize hardware for our data centers, leading the application of new technologies to large‑scale server deployments. You will work in a fast‑paced, intellectually challenging environment, collaborating with thought leaders across multiple technology areas. You will maintain high standards for yourself and your peers, continuously improving product performance, quality, and cost.

Basic Qualifications

• Bachelor’s degree in Electrical Engineering or a related field
• Experience identifying bugs in architecture, algorithms, functionality, and performance with strong debugging skills
• Experience verifying at multiple logic levels from IP blocks to SoCs to full system testing

Preferred Qualifications

• Master’s degree in Electrical or Communications Engineering or a related field
• Experience with formal verification techniques, including abstraction and end‑to‑end checking
• Experience with ARM and various DSP ISAs
• Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards
• Experience with industry standard tools and scripting languages (Python or Perl) for automation

Benefits and Compensation

The base salary range for this position is:

• USA, CA, Cupertino: 157,300.00 – 212,800.00 USD annually
• USA, TX, Austin: 136,000.00 – 184,000.00 USD annually

Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon offers comprehensive benefits, including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, optional Supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Equal Opportunity Employer

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