Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning

Amazon.com, Inc.; Cupertino (CA); On-site; USD 213,000 - 288,000; Full time

Benefits offered by this job

Health insurance (medical, dental, vis

401(k) matching

Paid time off

Parental leave

Job summary

Amazon’s AWS Utility Computing (UC) team seeks a senior Physical Design STA engineer to design and optimize hardware for cloud server platforms in data centers. You will focus on high-performance, cost-efficient timing closure for large-scale silicon used by AWS infrastructure.

You will develop STA flows, write and validate timing constraints, and automate analyses with scripts. Collaboration across Physical Design and RTL/Arch teams is essential in a startup-like environment.

Qualifications

• Experience in scripting languages (Python, Ruby, Perl).
• BS + 8yrs / MS + 6yrs / PhD + 4yrs in EE/CS.
• Expertise in timing analysis fundamentals.
• 3+ years doing Static Timing Analysis.
• 3+ years with timing constraint development.
• Timing Analysis using EDA tools (PrimeTime, Tempus, or others).
• Understanding of ASIC Physical Design from RTL-to-GDSII.
• Understanding of other sign-off activities (ir/em, physical verification, DFT).

Responsibilities

• Develop & maintain flows for block and full-chip level static timing analysis.
• Write, debug & validate timing constraints for blocks and full-chip.
• Run Static Timing Analysis and give frequent feedback to team members and leads.
• Provide guidance on how to fix timing issues (generate ECOs, fix constraint issues).
• Develop scripts to automate running timing analysis and generate reports.
• Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teams

Skills

Python

Ruby

Perl

Timing analysis fundamentals

Static Timing Analysis

Timing constraint development

ASIC Physical Design understanding

Education

BS + 8yrs / MS + 6yrs / PhD + 4yrs in EE/CS

Tools

PrimeTime

Tempus

ECO flows (PT-DMSA, Tempus-ECO)

STAR-RC

Quantus

SPICE

Job description

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we’re handling massive scale and rapid integration of emergent technologies. 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 technologies such as AWS Inferentia, which is a machine learning inference product designed to deliver high performance at low cost. You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products’ performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities

• Develop & maintain flows for block and full-chip level static timing analysis
• Write, debug & validate timing constraints for blocks and full-chip.
• Run Static Timing Analysis and give frequent feedback to team members and leads.
• Provide guidance on how to fix timing issues (generate ECOs, fix constraint issues).
• Develop scripts to automate running timing analysis and generate reports.
• Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teams

About the team

Utility Computing (UC) provides product innovations - from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Inclusive Team Culture Here at Amazon, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Basic Qualifications

• Experience in one or more scripting languages (e.g., Python, Ruby, Perl)
• BS + 8yrs or MS + 6yrs or PhD + 4yr in EE/CS
• Expertise in timing analysis fundamentals
• 3+ years doing Static Timing Analysis
• 3+ years with timing constraint development
• Timing Analysis using EDA tools (examples: PrimeTime, Tempus, or others)
• Understanding of ASIC Physical Design from RTL-to-GDSII
• Understanding of other sign-off activities (ir/em, physical verification, DFT)

Preferred Qualifications

• Experience in mentoring, leading and coaching
• Expertise developing flows using STA tools (examples: PrimeTime, Tempus or others)
• Expertise in ECO flows (examples: PT-DMSA, Tempus-ECO, Tweaker or others)
• Experience in advanced nodes - 16nm or below
• Expertise in parasitic extraction tools (examples: STAR-RC, Quantus or others)
• Expertise on circuit level analysis using tools like SPICE / SPECTRE
• Experience with timing of IO interfaces like DDR, HBM, PCIe, Die-to-Die etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Salary and 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.

• 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
• Parental leave

USA, CA, Cupertino - 213,000.00 - 287,500.00 USD annually

USA, CA, San Diego - 185,200.00 - 250,000.00 USD annually