微软Principal Software Engineer
任职要求
Required Qualifications:• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python • OR equivalent experience. • 4+ years of software engineering experience building and shipping apps and/or services. • Excellent technical design skills and proven ability to drive large scale system designs for commercial projects or products. • Fluent English communication skill. 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:• Bachelor's Degree in Computer Science OR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,OR Python• OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python • OR equivalent experience • Ambitious, self-motivated, …
工作职责
• Lead the technical direction and vision for the architecture, design, and the implementation of our infrastructure on Azure that scales to provision, manage, and monitor health of millions of cloud-based virtual devices. • Mentor and help grow a team of talented, diverse software engineers. • Work across organizations, collaborating with internal partner teams such as Azure Compute, Core OS, Microsoft Security and Identity team, and others. • Raise the technical bar, maintain a data and results driven culture, and nurture a high-performance team to build world-class experiences for W365 ITPros, partners, and operations teams. • Get to extend your knowledge of cloud computing, hypervisors, desktop virtualization, streaming technologies, and other technical areas including cloud-based management suites. • Be part of a team designing fundamental capabilities involving device management, computing, storage, networking, and streaming protocols (such as Remote Desktop Protocol) for our core products to enhance the value to our customer base. • Be a part of an agile team working with experienced engineers and product managers that behave more like a technology startup.
• Lead the software development in C/C++, Python, and in GPU languages such as CUDA, ROCm, or Triton• Analyze metrics and identify opportunities based on offline and online testing, develop and deliver robust and scalable solutions.• Work with cutting-edge hardware stacks and a fast-moving software stack to deliver best-of-class inference and optimal cost.• Engage with key partners to understand and implement inference and training optimization for state-of-the-art LLMs and other models.
Architect, build, and optimize secure and performant AI platform services that power Microsoft Copilot and other next-generation AI scenarios. Provide technical leadership across teams to define long-term architectural direction and drive engineering excellence. Collaborate with infrastructure, platform, product, and research teams to design and deliver scalable, production-grade AI services. Write high-quality, well-tested, secure, and maintainable code and promote high standards across the team. Tackle technically ambiguous or cross-boundary problems, remove roadblocks, and drive delivery across multiple teams or organizations. Lead technical design discussions, mentor senior engineers, and foster a strong engineering culture within the team. Embody Microsoft’s Culture and Values, and help shape the direction of the engineering team and broader organization.
Architect, build, and optimize secure and performant AI platform services that power Microsoft Copilot and other next-generation AI scenarios. Provide technical leadership across teams to define long-term architectural direction and drive engineering excellence. Collaborate with infrastructure, platform, product, and research teams to design and deliver scalable, production-grade AI services. Write high-quality, well-tested, secure, and maintainable code and promote high standards across the team. Tackle technically ambiguous or cross-boundary problems, remove roadblocks, and drive delivery across multiple teams or organizations. Lead technical design discussions, mentor senior engineers, and foster a strong engineering culture within the team. Embody Microsoft’s Culture and Values, and help shape the direction of the engineering team and broader organization.
Architect and implement core infrastructure components, drive technical direction, mentor engineers, and ensure high standards for scalability, security, and performance.