Role at a glance
- Salary
- $109.7K – $160K/yr
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
- Education
- Bachelor's, Master's, PhD
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Role Summary
The ASIC Design Engineer will join AWS’s Cloud-Scale Machine Learning Acceleration team to design and optimize custom SoC hardware for machine learning servers, including AWS Inferentia. The role focuses on developing high-quality, high-performance, area- and power-efficient designs for AWS data center infrastructure.
What You'll Do
- Develop and implement high-performance, area and power-efficient RTL designs
- Analyze designs, microarchitectures, and architectures to optimize feature, power, performance, and area trade-offs
- Create microarchitectures and implement SystemVerilog RTL
- Deliver synthesis and timing-clean designs with appropriate constraints
- Execute lint and clock domain crossing quality checks
- Collaborate with architects, designers, verification specialists, validation teams, and synthesis, timing, and back-end experts
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
- Master's degree or Ph.D. degree in Electrical Engineering or related field
- Experience with formal verification techniques including abstraction and end-to-end checking
- 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
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
- Experience with ARM and various DSP ISAs
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
- 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
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 or Ph.D. degree in Electrical Engineering or related field- Experience with formal verification techniques including abstraction and end-to-end checking
- 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
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
- Experience with ARM and various DSP ISAs
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, TX, Austin - 109,700.00 - 160,000.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.