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

Annapurna Labs; San Diego (CA); On-site; USD 154,000 - 215,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Flexible working hours

Job summary

Annapurna Labs (U.S.) Inc. is seeking an ASIC Design Engineer to design and optimize hardware for AWS data centers, including AWS Inferentia. You will develop high-performance, power-efficient RTL and collaborate with cross-functional teams to ensure quality and timely delivery.

The role requires a strong SystemVerilog background, knowledge of microarchitectures, and experience with RTL synthesis and timing constraints. Competitive base salary and comprehensive benefits are provided.

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• 3+ years of non-internship design or architecture experience on new or existing systems.
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.

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.

Skills

SystemVerilog

RTL design

Digital design

Analytical problem solving

Education

Bachelor's degree or equivalent

Master's degree in computer science or equivalent

Tools

Synthesis

Timing analysis

Job description

Description

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.

Description

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

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 integrityCollaborate 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.

Basic Qualifications

• Bachelor's degree or equivalent
• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Preferred Qualifications

• Master's degree in computer science or equivalent
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

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.

• 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.

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.

USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

Company

- Annapurna Labs (U.S.) Inc.

Job ID: A10524365