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Sr UCIe Phy Expert, Annapurna Labs

Amazon

Sr UCIe Phy Expert, Annapurna Labs

Amazon

Austin, TX, USA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

401(k) matching

Team events and activities

Competitive salary and equity package

Flexible work arrangements

Learning

Equity

Flexible Hours

Required Skills

Python

JavaScript

TypeScript

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
We are seeking an HBM/DDRx Phy expert with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our platform development team, you will have the outstanding and meaningful opportunity to participate in the design and execution of all HBM, Memories and Serdes topics, with the goal of creating and customized platforms that fit within AWS datacenter’s world leading technology. The HBM lead Engineer will need to independently work with vendors, understand the settings, write/modify tests, debug and collect data in the fleet.
Key job responsibilities
As a senior member of the team, you will join a group of hardworking engineers to design and implement innovative next generation machine learning chips and servers. In this position, you will make a real impact in a dynamic, technology focused team. Your work will impact the growing field of machine learning
As a senior member of the team, you will collaborate with architects, design teams, software engineers to deliver the next generation ML chip. In this position, you will have the opportunity to be responsible for IP integration, 2.5D design, bring up, Characterization and validation
A day in the life
A day in the life of an ASIC Engineer on the AWS Organization team focuses on operational excellence, constructively identifying problems and proposing solutions. You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews. ASIC Engineers will also mentor and help to develop others and interview for the team.
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 our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Basic Qualifications

  • BS or MS in EE, ECE or CS 7+ years of experience in Silicon development with 3+ years in SOC/IO/Subsystems Good understanding of UCIe at the PHY and controller level
  • Good knowledge of UCIe training, timing parameters and/or controller features
  • Drive the IP Integration and design of silicon and 2.5D packaging
  • Support the physical design team, review clocking and timing constraints
  • Drive cross-functional triage effort on complex functional and performance issues
  • Take the leadership role in post-silicon bring-up of UCIe-Advanced or Standard
  • Define boot-up initiatization, reset flow, training sequence Perform system-level debug and root-cause analysis through bring-up, characterization, validation and production phase
  • Experience Working with 3rd party IP

Preferred Qualifications

  • Strong Firmware development skills within embedded environments
  • Good leadership skills and ability to multi-task and thrive in a dynamic environment
  • Knowledge of UCIe phy and controller related protocols Good communication skills and interpersonal skills
    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 - 159,200.00 - 215,300.00 USD annually
USA, TX, Austin - 159,200.00 - 215,300.00 USD annually

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Product Designer L2

0 reports

$163,720

total / year

Base

$65,488

Stock

$81,860

Bonus

$16,372

$114,604

$212,836

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge