Amazon Web Services (AWS)
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
Amazon Web Services (AWS), Austin, Texas, us, 78716
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
Join to apply for the
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
role at
Amazon Web Services (AWS) .
Overview
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 responsibilities
Integrate multiple subsystems into top-level SOC, ensuring correct clock/reset/functional/DFT signal routing.
Implement and deliver high-performance, area- and power-efficient RTL to achieve design targets and specifications.
Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.
Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing-clean design with constraints.
Perform lint and clock-domain crossing quality checks on the design.
Collaborate with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish tasks.
You will thrive in this role if you
Are familiar with scripting in Python.
Are proficient with assertions.
Have good debug skills to analyze RTL test failures.
Have a "Learn and Be Curious" mindset.
About the team
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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help you develop engineering expertise so you feel empowered to tackle more complex tasks in the future.
Basic Qualifications
B.S. in Electrical Engineering or related technical field.
5+ years in RTL design for SOC.
5+ years of VLSI engineering.
5+ years with code quality tools including Spyglass, LINT, or CDC.
Preferred Qualifications
Master's degree in electrical engineering, computer engineering, or equivalent.
Experience with microarchitecture, SystemVerilog RTL, Assertions, SDC constraints.
Experience with automation and scripting languages such as Python.
Familiarity with data path design, interconnects, AXI protocol.
Good analytical, problem-solving, and communication skills.
EEO and accommodations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year to $247,600/year, depending on market location and job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total package, in addition to a full range of medical, financial, and other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
Company - Annapurna Labs (U.S.) Inc. - D63
Job ID: A3059766
Location
Austin, TX
Employment type: Full-time | Seniority level: Mid-Senior level | Job function: Information Technology, Consulting, and Engineering | Industries: IT Services and IT Consulting
Get notified about new Senior ASIC Design Engineer jobs in Austin, TX. Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x.
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Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
role at
Amazon Web Services (AWS) .
Overview
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 responsibilities
Integrate multiple subsystems into top-level SOC, ensuring correct clock/reset/functional/DFT signal routing.
Implement and deliver high-performance, area- and power-efficient RTL to achieve design targets and specifications.
Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.
Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing-clean design with constraints.
Perform lint and clock-domain crossing quality checks on the design.
Collaborate with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish tasks.
You will thrive in this role if you
Are familiar with scripting in Python.
Are proficient with assertions.
Have good debug skills to analyze RTL test failures.
Have a "Learn and Be Curious" mindset.
About the team
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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help you develop engineering expertise so you feel empowered to tackle more complex tasks in the future.
Basic Qualifications
B.S. in Electrical Engineering or related technical field.
5+ years in RTL design for SOC.
5+ years of VLSI engineering.
5+ years with code quality tools including Spyglass, LINT, or CDC.
Preferred Qualifications
Master's degree in electrical engineering, computer engineering, or equivalent.
Experience with microarchitecture, SystemVerilog RTL, Assertions, SDC constraints.
Experience with automation and scripting languages such as Python.
Familiarity with data path design, interconnects, AXI protocol.
Good analytical, problem-solving, and communication skills.
EEO and accommodations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year to $247,600/year, depending on market location and job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total package, in addition to a full range of medical, financial, and other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
Company - Annapurna Labs (U.S.) Inc. - D63
Job ID: A3059766
Location
Austin, TX
Employment type: Full-time | Seniority level: Mid-Senior level | Job function: Information Technology, Consulting, and Engineering | Industries: IT Services and IT Consulting
Get notified about new Senior ASIC Design Engineer jobs in Austin, TX. Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x.
#J-18808-Ljbffr