← 返回岗位列表美国IT/互联网fulltime

制造工程师,Trainium制造,质量与可靠性

雇主

Annapurna Labs (U.S.) Inc.

地点

Florence · 美国

待遇

$面议

工作模式

线下

截止日期

1月17日

🤖 AI 简历匹配评估

检测你的简历与该岗位的匹配度,免费

免费评估

岗位摘要

Manufacturing Engineer role focused on test validation, process improvement, and quality/reliability

岗位职责

Annapurna Labs is building the next generation cloud server infrastructure.
Our success depends on delivering world-class server infrastructure;
we're handling massive scale and rapid integration of emergent technologies.
Our servers include accelerators such as Trainium and Inferentia which are machine learning products designed to deliver high performance at low cost.
The Trainium Manufacturing, Quality and Reliability Team at Annapurna Labs is focused on Machine Learning products that design cutting edge AI platforms for the world’s largest Cloud Services provider.
We are seeking a talented and motivated Manufacturing Engineer with a proven track record of implementing best in class test techniques and processes within a complex supply chain.
As a member of the Cloud-Scale Machine Learning Acceleration team, you will be the interface between the system engineering team and the ODM and CM partners.
As a Manufacturing Engineer you will engage with an experienced cross-disciplinary staff to conceive and design infrastructure technologies.
You will work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test in manufacturing.
A successful candidate will be responsive, flexible and able to succeed within an open collaborative peer environment.
You will: - Be responsible for the test validation of future technologies.
- Drive manufacturing process improvements to address reliability issues and concerns.
- Qualify manufacturing lines and mechanisms for mass production
- Lead identifying and validating product/component risks and work with design teams to mitigate them and define the test methodology and test coverage to assure product quality
- Provide technical leadership and mentor engineers.
- Working with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.
The successful candidate will be capable of making wide-ranging business decisions on behalf of the organization and willing to “roll up sleeves and do what needs to get done” to consistently deliver results.
We’re changing an industry, and we want individuals who are ready for this challenge.
Key job responsibilities
- Manage manufacturing technical operations support at the factory
- Provide On-Site support to new product launches as well as sustaining issues
- Design in quality and manufacturability on new designs of servers and racks
- Root cause customer impacting issues and drive resolution
- Work with system engineering teams to identify and escalate manufacturing challenges by enforcing DFM, DFA and DFS principles
- Evaluate, investigate and introduce new manufacturing technology and methodology to enhance product quality and production efficiency at ODM and CM
- Manage product lifecycle changes, lead product quality and reliability improvement projects, and drive technical root cause for supplier defects
- Implement and optimize manufacturing 1st pass yields and efficiency from prototype through product ramp
LOCATION:This role is open to sit near Florence, KY, or Cincinnati, OH, and will spend most of their time at one of the Florence, KY facilities.
About the team
Annapurna Labs is a wholly owned subsidiary of AWS, focused on developing custom silicon and servers including the Nitro(K2), Graviton, Inferentia, and Trainium families of processors.
Machine Learning Annapurnafunctions as a vertically integrated team including software, firmware, hardware, and silicon design in a single organization.
We are the Trainium Servers and Systems organization under MLA focused on Hardware Development, Software Development, Fleet Ops Systems, and Manufacturing, Quality, and Reliability.
This position is in the Manufacturing, Quality and Reliability team.

申请条件

Proven track record of implementing best-in-class test techniques and processes within a complex supply chain.
Experience in manufacturing engineering, quality, and reliability.
Ability to make wide-ranging business decisions and deliver results.

对这个岗位感兴趣?

上传简历,AI 免费评估匹配度,一键发送至雇主

无需注册,上传简历即可投递

申请海外岗位,英文简历符合当地格式规范吗?

AI 自动评估你与该岗位的匹配度,3 分钟出结果

免费评估简历匹配度

数据来源:Amazon

岗位信息来源于公开渠道,版权归原作者所有