refresh

Trending companies

Trending companies

Jobs

JobsAmazon

Packaging Engineer, Annapurna Labs

Amazon

Packaging Engineer, Annapurna Labs

Amazon

Taipei, TPE, TWN

·

On-site

·

Full-time

·

3w ago

Required skills

Python

Excel

Machine Learning

Annapurna Labs is looking for a Packaging Engineer. As a 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.

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.

  • Key job responsibilities
  • Evaluation of packaging and assembly technology roadmap aligned to Annapurna product roadmap
  • Engage with product architect and design teams on future products package and assembly needs
  • Explore and provide recommendations on both available and future packaging and assembly technologies for Annapurna’s products
  • Engage with substrate and assembly vendors on future technologies roadmap

Product development and manufacturing:

  • Define the substrate and package BOM of the ICs in collaboration with Package Design team and OSATs
  • Assume full ownership of mechanical and thermal performance of Annapurna ICs
  • In collaboration with HW Dev team optimize mechanical vs. thermal tradeoffs.
  • Ensure testability of the ICs in collaboration with Test Engineer team
  • Work with Assembly, Test and Logistics to define work flows at OSATs (focus on Fab/assembly/test interfaces)
  • Track assembly and substrate yields and look for ways to improve them

Basic Qualifications

  • B.Sc. or M.Sc. degree in Electrical Engineering, Applied Physics or related fields
  • 5 years of professional experience in similar role

Preferred Qualifications

  • High communication skills
  • Dive deep quickly into unfamiliar domains
  • Strong analytic and problem-solving skills
  • Ability to work independently on multiple issues
  • Good understanding of transmission line theory, power delivery and signal integrity is desired.
  • Strong programming and scripting skills in Perl, Python, Tcl desired, Cadence Skill and EXCEL familiarity are helpful.
  • Enthusiastic and able to work with a minimum of supervision.
  • Can solve complex technical problems

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.

Total Views

0

Apply Clicks

0

Weekly mock applicants

0

Bookmarks

0

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

$1.5T

Valuation

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

4 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total per 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