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지금 많이 보는 기업

Microsoft
Microsoft

Empowering every person and organization on the planet to achieve more.

Network Engineer II

직무네트워크
경력미들급
위치United States, Multiple Locations
근무오피스 출근
고용정규직
게시2개월 전
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필수 스킬

Azure

Overview:

The HPC/AI (High performance Computing and Artificial Intelligence) team is on a mission to build the next-generation distributed AI supercomputer, enabling breakthroughs in artificial intelligence by delivering unmatched computational power, scalability and reliability. We design and develop cutting-edge infrastructure that supports high-performance AI model training at scale, laying the foundation for innovations that redefine what AI can achieve.

We are seeking passionate and innovative engineers to design, build and manage cutting-edge networking infrastructure that powers large-scale AI training. This role focuses on developing next-generation networking capabilities to ensure high performance, low latency, and minimal jitter for distributed AI workloads. You will play a critical role in enabling state-of-the-art AI systems to achieve their full potential.

As a Network Engineer on the HPC/AI team, you will play a pivotal role in shaping and managing the next-generation networking infrastructure for AI training and inference in Azure Cloud. This is a unique opportunity to work at the intersection of two of the hottest fields in technology: AI and high-performance computing. With the explosive growth of generative AI and the increasing demand for large-scale, low-latency systems, this area is at the forefront of innovation and impact. You will work across diverse network architectures and cutting-edge processor and accelerator technologies, driving the design and delivery of a comprehensive, end-to-end solution with a relentless focus on performance, scalability, and observability. If you’re passionate about groundbreaking technology, large-scale systems, and AI infrastructure, join us to build the platform that will power the future of AI supercomputing!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

  • Responsibilities- Demonstrates some knowledge of data — knows what data is needed, knows how to find new or missing data, and can describe defects and their relevance to product and service targets. Identifies patterns and trends in data and interprets them to inform decisions related to products and/or services.
  • Collaborates with teams across the organization to support and manage safe and secure network deployments.
  • Works with machine-readable definitions to manage deployments.
  • Supports the management of incidents by applying technical knowledge to diagnose and triage issues with a commitment to maintaining the quality of products and services. Takes notes during incidents and participates in postmortem and root cause analysis processes.
  • Performs testing and validation of network devices, firmware, and configurations. Defines and implements test cases with existing automation tools, and exposes test coverage gaps.
  • Triages, troubleshoots, and repairs live site issues by applying an understanding of network components and features (e.g., device operating systems) as well as problem management tools (e.g., root cause analysis, trend analysis, postmortems), to discover and drive solutions with minimal or no disruption to customers. Actively participates in on-call/DRI duties to troubleshoot and may actively resolve incidents in production.
  • Monitors network telemetry and performs analyses to identify patterns that reveal errors and unexpected problems. Makes suggestions on improvements to monitoring based on observations and experience.
  • Provides instructions to datacenter or network site staff/technicians on how to securely repair, replace, and maintain physical network hardware and components deployed in production. Identifies gaps and inefficiencies in processes related to securely installing and deploying new hardware and components and provides instructions to address gaps.

Qualifications:

Required Qualifications:

  • Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 1+ year(s) technical experience in network design, development, and automation OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 2+ years technical experience in network design, development, and automation OR equivalent experience.

Other Requirements:

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
    Preferred Qualifications:- Doctorate Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field OR Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 3+ years technical experience in network design, development, and automation OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 5+ years technical experience in network design, development, and automation OR equivalent experience.

Cloud Network Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Microsoft 소개

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

직원 수

Redmond

본사 위치

$3000B

기업 가치

리뷰

10개 리뷰

4.4

10개 리뷰

워라밸

3.2

보상

4.1

문화

4.3

커리어

3.8

경영진

4.0

82%

지인 추천률

장점

Cutting-edge technology and innovative projects

Great team culture and collaborative atmosphere

Excellent benefits and competitive compensation

단점

Heavy workload and frequent overtime

High expectations and stressful environment

Bureaucratic processes can be slow

연봉 정보

5,620개 데이터

Senior/L5

Senior/L5 · Account Management

5개 리포트

$209,483

총 연봉

기본급

$181,941

주식

-

보너스

-

$194,895

$209,483

면접 후기

후기 1개

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge