採用
必須スキル
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.
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Amazonについて

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0件のレポート
$108,330
年収総額
基本給
$43,332
ストック
$54,165
ボーナス
$10,833
$75,831
$140,829
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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