Senior Quantum Engineer - Systems Integration jobs at Microsoft in Taiwan, Taoyuan City

As a Software Engineering PhD Intern, you will work with teammates to solve problems and build innovative software solutions. You will apply your passion for customers and product quality as you provide technical guidance to Technical Program Managers and Product Managers. You will learn and adopt relevant new technologies, tools, methods, and processes to leverage in your solutions. This opportunity will enable you to advance your career by designing, developing, and testing next-generation software that will empower every person and organization on the planet to achieve more.

Required Qualifications

• Pursuing a PhD in Computer Science, Engineering, or related field during the academic term immediately before the internship.

• Must have at least 1 semester/term remaining following the completion of the internship.

• At least one year of programming experience in an object-oriented language.

Preferred Qualifications

• Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms.
• Academic/research experience with distributed systems, network architecture, operating systems, and/or related topics.

The base pay range for this internship is USD $5610.00 - $11010.00 per month. 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 $7270.00 - $12030.00 per month.

• Applies engineering principles to solve complex problems through sound and creative engineering.

• Works with appropriate stakeholders to determine user requirements for a feature.

• Quickly learns new engineering methods and incorporates them into work processes.

• Seeks feedback and applies internal or industry best practices to improve technical solutions.

• Demonstrates skill in time management and completing software projects in a cooperative team environment.

• Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Minimum Experience

• 5+ years technical pre-sales or technical consulting experience AND Bachelor's Degree in Computer Science, Information Technology Additional

  • or preferred qualifications 4+ years experience with cloud and hybrid

  • or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management Certification in relevant technologies or disciplines (Azure Architect and Development exams, Cloud Platform Technologies, Architecture).

• Drive technical sales conversations with business and technical decision makers, using demos and proof-of-concepts to shape solution design and accelerate production deployments.
• Lead hands-on engagements such as hackathons, code-with sessions, and architecture workshops to fast-track adoption of Microsoft developer tools and cloud platforms.
• Build trusted relationships with developers and platform leaders, co-designing secure, scalable, and innovative architectures.
• Resolve technical blockers and objections, working closely with engineering teams to provide feedback and influence product improvements.
• Develop and maintain expertise in AI Foundry and AI application architecture, including Agentic AI frameworks, Semantic Kernel, Foundry SDK, and Responsible AI.
• Grow skills in cloud-native development, including APIs, containerization, microservices, event-driven systems, and programming in Python, Java, or .NET.
• Expand knowledge in AI management and security, including GenAI Ops, Sentinel, orchestration, and monitoring.
• Represent Microsoft as a thought leader in developer communities and customer forums.

Your focus will be to lead the

• Bachelor’s degree in Computer Science, Engineering or related field or equivalent work experience
• Substantial experience in Change Management and Adoption.
• Deep understanding of Microsoft 365, Azure AI, and Copilot technologies.
• Strong communication and stakeholder management skills, with the ability to influence at all levels.
• Passion for innovation, customer success and continuous learning.
• Fluent in English; Dutch or French is a plus.

Some of your responsibilities include:

• Be a trusted advisor and drive business value through AI Transformation : Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
• Lead Adoption Strategy : Design and execute tailored adoption and change management plans that align with customer business objectives and Microsoft’s AI vision.
• Drive Organizational Change : Guide customers through the cultural and operational shifts required to embed Copilot into daily workflows.
• Champion Business Value : Translate technical capabilities into measurable business outcomes, using ROI models, usage analytics and success metrics.
• Enable Stakeholders : Engage executive sponsors, change agents and champions to build momentum and sustain adoption across departments.
• Deliver Readiness & Training : Facilitate workshops, onboarding sessions, and enablement programs to upskill users and ensure Copilot readiness.
• Collaborate Across Teams : Partner with sales, engineering, and partners to ensure seamless delivery and customer success.
• Contribute to IP & Scale : Help build reusable assets, playbooks, and best practices to scale adoption efforts across regions.
• Embrace a growth mindset: Act as the voice of the customer by proactively sharing insights, feedback and success stories to inform internal strategy and execution.
• Learn-it-all:

The candidate will leverage external and internal data to identify talent pools, assess market feasibility, and uncover competitive trends. You will design and implement sourcing strategies that go beyond traditional methods—using intelligence to anticipate and track talent movement, research competitors and industry trends, and optimize our location strategies.

Required/minimum qualifications

• Bachelor's Degree AND 6+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR equivalent experience.
• 4+ years of talent and market intelligence experience

Additional or preferred qualifications

• Bachelor's Degree AND 12+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR Master's Degree AND 8+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR equivalent experience.
• 4+ years of market research to map and track talent, key competitors, and industry trends.
• 4+ years of documenting and delivering actionable insights of market research to formulate a differential sourcing strategy.

Required Qualifications

• Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR 7+ years technical pre-sales or technical consulting experience OR equivalent experience.

Preferred Qualifications

• 10+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience.
• 8+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
• Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).

Solution Design and Proof

Adapts and extends architecture patterns to accommodate complex customer requirements and drive integration solutions for industry flavor. Delivers assets that can be leveraged by others in the business.

Agility: Ability to think, understand, and process information quickly.

Algorithm Design and Implementation: The ability to design, analyze, implement, optimize, profile and experimentally evaluate computer algorithms. Includes knowledge of practical applications of algorithms in software engineering.

Computer Science: The ability to apply computer science principles (e.g., data structures, algorithms, run-times), statistics and computer architecture to implement, adapt, or apply concepts when programming.

Detail Oriented: The ability to attend to and verify the accuracy and completeness of detailed information in documents, on the computer, and/or in other work products. This includes being able to code, file, compile, transcribe, classify, and/or track details from a variety of different sources/problems/issues.

English Language Proficiency: The ability to speak and understand English when giving instructions and directions, and when talking with colleagues, managers, and others for work matters.

Oral Communication: The ability to make a verbal message understood and to receive/understand messages during in-person or remote (e.g., telephone) interactions.

Problem Solving: The ability to identify problems and review related information to develop and evaluate options and implement solutions.

Software Development: Knowledge of the software development process, including conception, specification, design, programming, documentation, testing, and bug fixing to create and maintain applications, frameworks, or other software components.

Writes Code: The ability to write clear and efficient code in one or more relevant computer programming languages (e.g., Java, C/C++, Python, JavaScript) to develop computer programs that solve a business problem.

Written Communication: The ability to prepare clear, accurate, and understandable written text, and follow the basic rules of spelling, grammar, and punctuation. This may include memos, emails, proposals, reports, and professional or general correspondence.

Required Qualifications:

• 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.

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:

• : 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 5+ 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.

• Coding: Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code. Supports efforts to apply debugging tools and examines logs, telemetry, and other methods to verify assumptions proactively before issues occur and reactively as issues occur for product features. Conducts retrospective debugging of solutions to identify root causes of problems. Reviews code of a product feature to assure it meets the team's and Microsoft's quality standards, is reliable and accurate and is appropriate for the scale of the product feature. Applies feedback to current and future iterations. Participates in code reviews to ensure coding standards are followed. Considers diagnosability, reliability, and maintainability when reviewing code and understands when code is ready to be shared or delivered.
• Design: Creates a clear and articulated plan for testing and assuring quality of solutions, and defines success for outcomes of tests (e.g., unit tests). Adds new tests, removes antiquated tests, and aggregates tests to improve tests in the feature area. Helps to drive efforts for augmenting test cases and ensures that the solution area has good test coverage. Helps to integrate automation features when planning for testing.
• Engineering Excellence: Builds knowledge, shares new ideas, and shares pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for complex product features. Uses open source when possible. Develops higher-level awareness of other kinds of tools outside areas of expertise. Helps to identify internal tools and creates tools that will be useful for creating the product, determining if methods are still applicable for the current solution. Contributes to the development of automation within production and deployment of a complex product feature. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight.
• Implement: Conducts and creates experimentation to determine the effectiveness of changes for prototyping and testing features, and applies findings back into development. Reviews work items to deepen knowledge of product features in partnership with appropriate stakeholders (e.g., project managers) and executes project plans, release plans, and work items. Contributes to efforts to break down larger work items into smaller work items and provides estimation. Escalates any issues that would cause a delay.
• Reliability and Supportability: Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Alerts stakeholders as to the status and gains approval to restore system/product/service for simple problems. Responds within Service Level Agreement (SLA) timeframe. Escalates issues to appropriate owners. Identifies areas to efforts to integrate instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms. Contributes to sustaining feedback loops from telemetry resulting in subsequent designs. Helps to create outputs of telemetry such as notifications or dashboards.
• Understand User Requirements: Works with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements for a set of features. Begins to leverage a variety of feedback channels to incorporate insights into future designs or solution fixes. Incorporates appropriate continuous feedback loops measuring customer value, usage patterns, and other actionable metrics of value.