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Google
Google

Organizing the world's information and making it universally accessible.

Machine Learning, Data and Analytics Engineer, Semiconductor

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About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

As a Machine Learning Data and Analytics Engineer, you will be the architect of manufacturing intelligence. You will design, build, and maintain the data infrastructure that transforms fragmented information from the global partners into a cohesive, high-performance data ecosystem. Your work will directly enable the operations team to monitor production health, optimize yields, and make data-driven decisions in real-time.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

  • Design and deploy pipelines to manage high-volume manufacturing data, including wafer maps, test results, and quality reports.

  • Build automated tools to clean and normalize disparate data formats from foundry and assembly partners, ensuring a single source of truth.

  • Create and maintain intuitive visualizations and dashboards to monitor the Key Performance Indicator (KPIs) and production health metrics.

  • Develop and optimize data schemas that support high-speed ingestion and investigative querying for real-time decision-making.

  • Partner with Operations and Engineering teams to translate business requirements into technical solutions while ensuring platform reliability and performance.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 5 years of experience using Python (Pandas, Num Py) or Java to develop data processing tools or automation scripts.

  • Experience in managing data workflows using tools like Airflow, dbt, or Prefect.

  • Experience in building and querying data within Big Query, Snowflake, or Redshift environments.

  • Experience in developing operational dashboards using Looker, Tableau, or Power BI.

Preferred qualifications

  • Experience working with semiconductor manufacturing data or large-scale industrial datasets.

  • Ability to manage complex data exchanges and integration workflows with external foundry or assembly partners.

  • Ability to identify manufacturing anomalies and to explain architectures to non-technical stakeholders.

전체 조회수

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전체 지원 클릭

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전체 Mock Apply

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전체 스크랩

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Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

10개 리뷰

4.5

10개 리뷰

워라밸

3.2

보상

4.3

문화

4.1

커리어

4.2

경영진

3.8

82%

지인 추천률

장점

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

단점

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

연봉 정보

57,503개 데이터

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 후기

후기 9개

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense