微软Principal Architect (Copilot Mac Team)
任职要求
Required Qualifications: 15+ years of software development experience10+ years of mobile development experience (iOS focus)5+ years of experience with C++, Objective-C Preferred Qualifications: Cross-platform development experience (Windows, Linux, macOS) is a plusExperience with web application development is a plusProven productivity and effectiveness in large codebases and/or open-source projects Familiarity with agile development practices, including daily standups; experience as a Scrum Master is a plus Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family o…
工作职责
As an architect on the Copilot Mac team, you will drive the ongoing development of the product on macOS. The team is committed to delivering a consistent cross-platform experience, using data-driven methods to measure impact, reach, and reliability, while working closely with various internal teams. You will be responsible for the design, implementation, measurement, rollout, and refinement of solutions.
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.
1. Relationship Architect and Revenue Strategy Lead: As the Strategic Account Manager, you will serve as the principal architect of client relationships and headline revenue-generation strategies on the front lines. This role calls for a rare blend of deep expertise, exceptional learning agility, resilience to pressure, and adaptive problem-solving skills. Most critically, you must possess outstanding interpersonal abilities and emotional intelligence to masterfully manage and nurture high-value relationships with sophisticated asset issuers, investors, and ecosystem partners. Your credibility and trustworthiness will be key assets in driving business forward. 2. Go-to-Market Design and End-to-End Execution: Your core mandate is to conceive, develop, and execute comprehensive 0-1 go-to-market strategies that position our tokenization platform as the solution of choice for clients seeking real-world asset exposure via blockchain, on both the issuer and investor sides. You will own the entire commercial cycle—from initiating prospect outreach and opportunity exploration to structuring proposals and negotiating contracts. As a trusted advisor, you’ll bridge the gap between technical complexities of tokenization and clients’ strategic on-chain objectives, guiding them throughout their digital asset journey. 3. Cross-functional Product Solutioning and Stakeholder Leadership: Working in direct partnership with technical teams, you will shape and deliver bespoke tokenization frameworks meeting unique client needs, all while assuring compliance across diverse regulatory landscapes. You’ll orchestrate complex, multi-stakeholder negotiations involving legal, compliance, risk, and technical representatives across organizations. Your ability to design robust business cases, articulate compelling value propositions for RWA tokenization, and balance financial returns with operational efficiencies will be instrumental in enabling customer buy-in and successful implementation. 4. Market Intelligence and Thought Leadership: Maintaining a pulse on RWA market trends, regulatory developments, and competitive activity is a critical aspect of this role. You will synthesize market intelligence to refine commercial strategies and anticipate client needs. Through industry event participation, strategic thought leadership, and content creation, you will champion our platform’s value, reinforce our leadership position, and generate inbound business interest in target markets.
Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.