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

Amazon; Cupertino (CA); On-site; USD 183,000 - 248,000; Full time

Job summary

Amazon seeks a Sr. Physical Design STA Engineer to build scalable timing solutions for cloud server platforms in Cupertino.

You will develop and optimize block- and full-chip static timing analysis flows, write constraints, and drive ECO-based fixes with close collaboration across physical design and RTL teams. Role requires 8+ years in EE/CS with hands-on STA tools, scripting, and a track record of delivering high-performance, cost-effective silicon.

Qualifications

• BS/MS/PhD in EE/CS with extensive timing analysis experience.
• Experience in Static Timing Analysis and timing constraint development.
• Hands-on with EDA tools like PrimeTime or Tempus.

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 provide feedback to team.
• Guide on fixing timing issues and generate ECOs.
• Develop scripts to automate timing analysis and reports.
• Collaborate with physical design and RTL teams.

Skills

Perl

Python

Javascript

Timing analysis fundamentals

Static Timing Analysis

Timing constraint development

EDA tools

PrimeTime

Tempus

RTL-to-GDSII understanding

Education

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

Tools

PrimeTime

Tempus

STAR-RC

Quantus

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

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Utility Computing (UC)

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.

Inclusive Team Culture

Here at AWS, 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.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.

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 scripting languages such as Perl, Python, or Javascript
• 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.

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 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, CA, Cupertino - 183,000.00 - 247,600.00 USD annually