Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon; Austin (TX); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Annapurna Labs team in Austin, TX is seeking a Hardware Design Engineer to define, design and validate AWS next-generation ML chips, cards and server integration.

You will lead ASIC/SoC verification across PCIe and Serdes, driving performance, quality and cost improvements while collaborating with cross-functional teams in a fast-paced cloud environment.

Qualifications

• Bachelor's degree in Electrical Engineering required.
• Experience identifying bugs in architecture, algorithms, functionality, and performance with strong debugging skills.
• Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing.

Responsibilities

• Define, design and validate AWS next-generation ML chips, cards and server integration.
• Lead PCIe and Serdes topics across platforms to optimize performance and cost.

Skills

Debugging skills

Architectural verification

ARM/ISA experience

HDL design

Education

Bachelor's degree in Electrical Engineering

Master's degree in Electrical or Communications Engineering

Tools

Python scripting

Job description

Description

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

We are seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customized platforms that fit within AWS datacenter’s world leading technology.

As a member of the Machine Learning Acceleration team you’ll be responsible for the 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 an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Basic Qualifications

• Bachelor's degree in Electrical Engineering or a related field

• Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills

• Experience verifying at multiple levels of logic 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

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: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for 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. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually

USA, TX, Austin - 136,000.00 - 184,000.00 USD annually