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Open nowPosted 4 hours agoWe saw it 112 min after it went up

Software Engineer II - GPU COGS/Efficiency

Microsoft1,948 open roles

Where
Shanghai, Shanghai, CN, Suzhou, Jiangsu, CN
Work mode
On site
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Your applicationOpen nowSoftware Engineer II - GPU COGS/EfficiencyMicrosoft · Shanghai, Shanghai, CN, Suzhou, Jiangsu, CN

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Microsoft postings stay open a median of 18 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 4 hours ago

Microsoft median: 18 days open

The posting

Overview

Microsoft 365 and Copilot run on Substrate & Work IQ (SWIQ)—the trusted data and intelligence platform powering service health, operational excellence, business insights, and AI-driven decision making across Microsoft's largest cloud services. As Microsoft 365 and Copilot continue to grow at unprecedented scale, SWIQ provides the foundational intelligence that connects product experiences, infrastructure, operations, and business outcomes, enabling teams to build, operate, and innovate with confidence.

The SWIQ Performance Team is hiring a Software Engineer II to help improve infrastructure efficiency and build trusted intelligence platforms that power Microsoft 365 and Copilot economics. You will develop and operate systems that connect product usage, service dependencies, fleet inventory, hardware constraints, utilization, operational telemetry, and Finance-aligned cost models into a unified foundation for bare-metal COGS and efficiency. These capabilities help engineering, finance, and business teams understand cost drivers, reduce stranded resources, improve fleet utilization, optimize investments, and make reliable capacity decisions at cloud scale.

In this role, you will contribute to the design, development, and operation of scalable cloud services and data-driven intelligence solutions that transform complex operational and business signals into actionable insights. You will collaborate with engineers and partner teams to improve visibility into the relationships between cost, quality, reliability, efficiency, and customer value across rapidly evolving Copilot and AI-powered experiences.

You will also contribute to AI-native engineering transformation by applying AI technologies, agents, and intelligent automation to streamline engineering workflows, identify optimization opportunities, and improve operational efficiency.

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

  1. Design, develop, test, and maintain scalable software services and data pipelines that connect operational telemetry, product usage, infrastructure consumption, and cost data into trusted intelligence platforms.
  2. Implement reliable and efficient cloud services that support Microsoft 365 and Copilot economics, infrastructure efficiency, and data-driven decision making.
  3. Build features and capabilities that improve visibility into cost drivers, resource utilization, service dependencies, and operational efficiency, enabling engineering and business teams to identify optimization opportunities.
  4. Apply AI technologies, agents, and intelligent automation to improve engineering productivity, streamline operational workflows, and support data-driven insights.
  5. Collaborate with engineers, product managers, and partner teams to understand requirements, develop technical solutions, and deliver measurable customer and business value.
  6. Own the design, implementation, testing, and delivery of software features and components, contributing to technical discussions and architectural decisions.
  7. Improve service reliability, observability, performance, data quality, and operational efficiency through engineering best practices, monitoring, troubleshooting, and automation.
  8. Participate in code reviews, technical design discussions, and production operations while contributing to a culture of engineering excellence, ownership, collaboration, and continuous improvement.

Qualifications

Required Qualifications

  • Bachelor'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 equivalent experience.

Preferred Qualifications

  • Master's Degree in Computer Science or related technical field AND 4+ 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 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python; OR equivalent experience.
  • Experience developing and maintaining scalable software systems, cloud services, or data processing pipelines.
  • Interest in AI-native engineering and automation, including applying AI technologies, LLMs, or intelligent agents to improve engineering productivity and operational effectiveness.
  • Experience delivering software features or components from design and implementation through testing, deployment, and production support.
  • Solid software engineering fundamentals, including data structures, algorithms, distributed systems, cloud architecture, reliability, and scalability.
  • Ability to collaborate across teams, solve technical problems, and translate requirements into reliable software solutions.
  • Experience working with data, analytics, telemetry, or observability technologies to improve service performance, operational efficiency, or business insights.
  • Demonstrated commitment to code quality, engineering best practices, ownership, and continuous improvement.
  • Experience developing or operating cloud-based services, distributed systems, or data platforms.
  • Familiarity with large language models (LLMs), AI agents, or AI-assisted development tools.
  • Experience developing data pipelines, analytics solutions, dashboards, or data-driven applications.
  • Familiarity with cloud service monitoring, troubleshooting, automation, and operational best practices.

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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