As a Senior Software Engineer, you will own meaningful end-to-end areas of the Agent 365 platform, from architecture and API design through implementation, deployment, observability, and production operations.
Locations (3)
Redmond, Washington, United States
San Francisco, California, United States
New York, New York, United States
Compensation
The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year.
Responsibilities
Own and deliver complex engineering features end to end, from technical design and implementation through validation, deployment, monitoring, and production support.
Design and build secure, scalable, highly available cloud services and APIs supporting Agent 365 management and governance scenarios.
Contribute to capabilities such as agent registry, lifecycle management, identity integration, ownership, governance actions, administrative APIs, and cross-platform orchestration.
Drive technical design for ambiguous problems, make sound engineering tradeoffs, and turn product requirements into maintainable architectures.
Work across service boundaries and partner teams to define contracts, resolve dependencies, and deliver coherent end-to-end experiences.
Requirements
Bachelor's Degree in Computer Science or related technical field
Lead technical strategy and execution for CAD DevOps workflows, including CI/CD, cloud-based EDA environments, and automation frameworks for Microsoft Silicon Engineering.
Locations (3)
Mountain View, California, United States
California, United States
New York City, New York, United States
Compensation
The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.
Responsibilities
Lead technical strategy and execution for CAD DevOps workflows
Lead team to follow industry-standard software practices
Work in close collaboration with CAD Hardware and Compute infrastructure teams
Design software solutions and documentation that scale to a large user base
Lead the Marketplace Payload Processing Platform, defining vision, architecture and roadmap for a scalable, extensible, secure platform.
Compensation
Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.
Responsibilities
Define technical strategy and lead the delivery of scalable, extensible platforms.
Lead, coach and grow inclusive, self-sufficient engineering teams and develop future leaders.
Own service reliability, performance, security and compliance; champion operational excellence.
Partner across teams to align priorities, manage dependencies and resources, and deliver shared outcomes.
Advance AI-native engineering and automation to improve delivery, quality and operational efficiency.
Requirements
Bachelor's Degree in Computer Science or related technical field
Imagine making AI coding tools more effective for tens of thousands of Microsoft engineers—that’s what you’ll do on the Engineering Thrive Insights team.
Compensation
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year.
Responsibilities
Define success metrics, design and analyze experiments, develop statistical and machine-learning models, and uncover opportunities to improve AI-assisted software development.
Build rigorous measurement frameworks, evaluate product changes, and translate complex behavioral and product data into recommendations for engineering and product teams.
Deepen expertise in experimentation, causal inference, developer productivity frameworks such as DORA and SPACE, AI product evaluation, and privacy-conscious analytics.
Prototype and develop AI models using containerized environments to operationalize, build, and validate scalable tools/applications/solutions.
Develop and deploy systems for basic retrieval-augmented generation workflows, assisting in the selection of data sources, retrieval systems, and generative models.
Requirements
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Research Interns put inquiry and theory into practice, collaborating with doctoral candidates and researchers to advance AI agent research.
Compensation
The base pay range for this internship is USD $6,810 - $13,480 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 $8,920 - $14,610 per month.
Responsibilities
Collaborate with researchers and product teams
Conduct research and author peer-reviewed publications
Build and prototype AI agent systems
Present findings and contribute to community
Requirements
Doctorate in Computer Science
Doctorate in Software Engineering
Doctorate in Electrical Engineering
Doctorate in related STEM field
Nice to have: Experience in conducting research and authoring peer-reviewed publications
Develop Android/Linux-based embedded software for Poly Video devices, identify and resolve complex technical issues, and collaborate with global stakeholders and Taiwan-based ODM partners.
Responsibilities
Design and develop innovative firmware for Android- and/or Linux-based video conferencing devices.
Build and enhance platform capabilities below the framework layer.
Lead the development of secure, scalable, and high-performance embedded C/C++ applications.
Troubleshoot and resolve complex system-level issues in embedded environments.
Partner closely with Taiwan ODMs and global product stakeholders to support technical execution, issue resolution, new product development, and successful product delivery.
Lead critical manufacturing governance programs, develop frameworks, and partner with cross‑functional teams to improve stability, equipment health, and quality performance.
Responsibilities
Lead rollout and maintenance of Frontline Stability Program initiatives across HBM and Non‑HBM manufacturing lines
Manage governance frameworks such as FEAT, EFM, and CESG
Establish operational benchmarks and monitoring mechanisms to improve manufacturing stability, equipment health, and quality performance
Work alongside Site Engineering, Quality, and Manufacturing departments to secure timely closure of issues and alignment with governance standards
Define and deploy machine auto‑trigger strategies based on equipment alarms, FDC, SPC, hotspot detection, and Sub‑Lot Soft Bin Limits
Requirements
Bachelor's degree or equivalent experience in Mechanical, Electrical, Manufacturing, Industrial, Mechatronics, Semiconductor Engineering, or a related field
Senior/Principal NAND Module Process Integration Engineer in the Singapore R&D department at Micron Technology Inc.
Responsibilities
Identify and quantify key module deficiencies and technology gaps
Lead cross-functional teams to address these issues
Improve current process flows and develop innovative solutions to meet product requirements and manufacturability
Develop or redefine CSPEC criteria for optimal product performance and drive activities to ensure manufacturing process capability
Coordinate activities at the manufacturing site to secure funding for experiments, and conversions, and effectively communicate decisions to relevant R&D, Product Engineering, and Manufacturing partners
Requirements
BS, MS/PhD in Electrical Engineering, Microelectronics, Chemical Engineering, Material Science or a related field
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Nice to have: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 1+ year data-science experience
Nice to have: Master's Degree with 3+ years data-science experience
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