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Microsoft
Microsoft

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

Software Engineer II

职能工程
级别中级
地点United States, Washington, Redmond
方式现场办公
类型全职
发布2周前
立即申请

Overview

We are looking for a Software Engineer II to join the Microsoft Discovery team and work on an exciting new Artificial Intelligence (AI)-driven platform that will transform the scientific research process. Microsoft Discovery is a cutting-edge enterprise platform that uses AI agents and high-performance computing to accelerate research and development (R&D) in science and engineering. Microsoft Discovery is already driving breakthroughs in collaboration with partners across industries like chemistry and materials, energy, manufacturing, and pharmaceuticals, showcasing its potential to solve real-world challenges through AI-powered discovery.

We innovate quickly, learn from data and experience, think creatively, and have fun – all while tackling challenging customer and partner problems. You will be part of a startup-like environment within Microsoft, joining a highly motivated team that enjoys tough challenges and rapid development iterations. We collaborate closely with key platform teams across Microsoft and Microsoft Research to design, build, and operate the Discovery platform and related products.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 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 to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

As a Software Engineer II, you will:

  • Design and build scalable, distributed systems from the ground up.

  • Deliver features from ideation to global rollout.

  • Improve engineering velocity and service reliability through adoption of AI-enabled process enhancements.

  • Collaborate across Microsoft Research and platform teams to integrate cutting-edge technologies.

  • Apply site-reliability engineering practices to ensure robust operations.

Qualifications Required/minimum Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience.

  • 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:

  • Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience.

  • Hands on experience with cloud platforms and enterprise-scale services.

  • Familiarity with widely used scientific tools in chemistry, physics and bio sciences.

  • Proficiency in building web user experience for scientists or developers.

  • Deep problem-solving skills and a bias for action.

  • Passion for scientific innovation and cross-disciplinary collaboration.

  • Advanced degree (MS/PhD) is a plus.

Software 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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关于Microsoft

Microsoft

Microsoft

Public

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

10,001+

员工数

Redmond

总部位置

$3000B

企业估值

评价

10条评价

4.4

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

4.3

职业发展

3.8

管理层

4.0

82%

推荐率

优点

Cutting-edge technology and innovative projects

Great team culture and collaborative atmosphere

Excellent benefits and competitive compensation

缺点

Heavy workload and frequent overtime

High expectations and stressful environment

Bureaucratic processes can be slow

薪资范围

5,620个数据点

Senior/L5

Senior/L5 · Account Management

5份报告

$209,483

年薪总额

基本工资

$181,941

股票

-

奖金

-

$194,895

$209,483

面试评价

1条评价

难度

4.0

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge