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FI and Silicon Debug Engineer

Amazon

FI and Silicon Debug Engineer

Amazon

Haifa, ISR

·

On-site

·

Full-time

·

2w ago

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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

Annapurna Labs is a semiconductor company established by semiconductor industry veterans and is now part of Amazon Web Services (AWS).
We are developing leading edge products, manufactured on leading edge technologies.
We offer a dynamic, open, teamwork environment operating at high pace mode.

The main scope of this role is to lead AWS silicon debug efforts and provide insights related to complex design issues, open test holes, low yield events and reliability failures, related to our cutting-edge silicon-based products embedded into AWS cloud.

Key job responsibilities
Your responsibilities will include, but not be limited to:

  • Utilizing testers and system boards in combination with optical debug and fault isolation (FI) techniques such as: laser stimulation operations (OBIRCH, LADA, etc.), laser probing and emission microscopy.
  • Root cause failures and performance limitations and drive decision making related to test coverage and yield issues.
  • Analyzing and diving deep into fundamental aspects of material/device operations and light-matter interactions.
  • Owning the development of electrical, analytical and mechanical methodologies to ensure strategic failure analysis capabilities for future technologies and products.
  • Using test diagnostic techniques.
  • Working directly with other teams: Test, DFT, HW, SW, Backend, Q&R & foundry.
  • Research and development of novel and new debug techniques.

Basic Qualifications

  • B.Sc. degree in electrical engineering with at least 5 years of experience in FI and optical debug in the Industry, or alternatively, a Ph.D./M.Sc. in electrical engineering.
  • Basic knowledge in IC design and manufacturing.
  • Strong education background in semiconductor and device physics.
  • Solid understanding in electro-optics and lab experience.

Preferred Qualifications

  • Experience with electronic test equipment: testers, scopes, spectrum analyzers, lock-in amplifiers, etc...
  • Hands on lab work, including experience with optical equipment.
  • Experience in device characterization.
  • Experience or knowledge in SEM and FIB. Knowledge in DFT (SCAN, BIST, JTAG, diagnostic tools, etc.) and debug.

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.

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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

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

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