ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

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 Eengineer to help us trail-blaze new

technologies and architectures, while ensuring high design quality and making

the right trade-offs.

Key job responsibilities

As an ASIC Design Engineer, you will:

• 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

• Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis

and timing-clean designs with appropriate constraints

• Execute lint and clock domain crossing quality 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

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.

You will thrive in this role if you:

- Have a "Learn and Be Curious" mindset

- Have familiarity with key components such as interconnects, DMAs, Memory

sub-systems, accelerator engines, debug and system level architectures

- Have a strong drive to innovate, explore new solutions, and contribute to the

company's intellectual property through patents

About the team

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our

culture of inclusion. We have ten employee-led affinity groups, reaching 40,000

employees in over 190 chapters globally. We have innovative benefit offerings,

and host annual and ongoing learning experiences, including our Conversations on

Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of

inclusion is reinforced within our 16 Leadership Principles, which remind team

members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours

you spend at home or at work; it’s about the flow you establish that brings

energy to both parts of your life. We believe striking the right balance between

your personal and professional life is critical to life-long happiness and

fulfillment. We offer flexibility in working hours and encourage you to find

your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of

experience levels and tenures, and we’re building an environment that celebrates

knowledge sharing and mentorship. We care about your career growth and strive to

assign projects based on what will help each team member develop into a

better-rounded professional and enable them to take on more complex tasks in the

future.

We are open to hiring candidates to work out of one of the following locations:

Cupertino, CA, USA | Austin, TX, USA 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
• [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
• [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