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トレンド企業

トレンド企業

採用

求人Google

Staff Software Engineer, Cloud Storage AI/ML Solutions

Google

Staff Software Engineer, Cloud Storage AI/ML Solutions

Google

·

On-site

·

Full-time

·

1w ago

  • Provide technical leadership for a team in storage AI/ML solutions to design and develop products/projects (e.g., benchmarks for GCP storage systems, AI/ML client libraries, or tooling).

  • Assist key customers in onboarding their AI/ML workloads onto GCP storage.

  • Work with various teams across GCP, including core GCS, file solutions, GKE, Cloud ML Compute Services (CMCS), and networking to drive storage innovation for AI/ML.

  • Build technical knowledge in object and file storage, AI/ML workloads, and the evolving AI/ML landscape.

  • Influence the industry and building credibility for GCP storage.

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience programming in C++.

  • Experience with storage, software architecture, and testing.

  • Experience in leadership.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Googleについて

Google

Google

Public

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

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

3.7

25件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.4

キャリア

3.9

経営陣

2.8

68%

友人に勧める

良い点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

改善点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

給与レンジ

57,502件のデータ

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0件のレポート

$176,704

年収総額

基本給

-

ストック

-

ボーナス

-

$150,298

$203,110

面接体験

9件の面接

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense