Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud‑Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world‑class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Engineer to help us trail‑blaze new technologies and architectures, while ensuring high design quality and making the right trade‑offs.

Key job responsibilities

• Develop and implement high‑performance, area and power‑efficient RTL designs to meet project specifications and targets.
• Conduct in‑depth analysis of designs, microarchitectures, and architectures to optimize trade‑offs between features, power consumption, performance, and area requirements.
• Implement SystemVerilog RTL, and deliver synthesis and timing‑clean designs with appropriate constraints. Execute lint and CDC checks to ensure design integrity.
• Collaborate closely with cross‑functional teams, including architects, fellow designers, verification specialists, pre‑ and post‑silicon validation teams, and synthesis, timing, and back‑end experts.
• Lead design projects to meet requirements or solve a system problem at a product or product family level. Take the lead on projects and partner with management & cross discipline engineers to deliver solutions. Mitigate long‑term risks. Find a path forward in difficult situations. Make trade‑offs : short vs. long‑term needs. Mentor and perform hiring decision assessments.

The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem‑solving skills. Experience with high-performance and power-efficient designs is highly desirable.

Desired attributes

Basic Qualifications

Preferred Qualifications

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300 / year in our lowest geographic market up to $261,500 / year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits. For more information, please visit https : / / www.aboutamazon.com / workplace / employee-benefits.

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