logo
AI Resume Tailoring Sign in to use this AI Cover Letter Sign in to use this

Job Description

Overview

Come define how Microsoft 365 Copilot remembers. Memory is what turns an assistant that answers questions into one that genuinely knows your work, carrying context across sessions, surfaces, and agents so every interaction starts smarter than the last. As a Principal Software Engineer on the Copilot memory charter, you will own the systems that make this real: how memory is formed from a user’s work, how it is stored and revised over time, how it is retrieved at inference time, and how it stays private, governed, and under the user’s control. 

This is a senior role on a fast moving charter with real ambiguity. You will set technical direction end to end, partner closely with Applied Science, PM, and partner engineering teams across Microsoft 365 and Windows, and translate strategy into shipped outcomes at Copilot scale. 

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
  • Own the architecture and implementation of Copilot’s memory substrate: storage, schema, write path, retrieval, and lifecycle (consolidation, revision, expiry, and deletion) at Microsoft 365 scale. 
  • Design and ship the pipelines that turn signals across mail, meetings, documents, and chat into high precision memory, and the retrieval layer that makes it useful at inference time. 
  • Set technical direction for privacy, compliance, and user control: consent, transparency, tenant and regional boundaries, retention and deletion, and auditability by design. 
  • Partner with Applied Science on evaluation, including offline and online metrics for memory quality and the experimentation loop that proves memory improves user outcomes. 
  • Raise the engineering bar through design and code reviews, live site and observability practices, and technical mentorship, creating clarity in an ambiguous and fast moving space. 
  • Influence across organizational boundaries to align contracts, schemas, and platform capabilities with partner teams in Microsoft 365, Windows, and the Copilot platform. 


Qualifications

Required 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 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:
 
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:

  • Master’s or Doctorate Degree in Computer Science or related technical field AND 10+ years of technical engineering experience, OR equivalent experience. 
  • 4+ years experience designing, shipping, and operating large scale distributed services or data platforms in production. 
  • Experience building memory, personalization, knowledge graph, or retrieval systems in production, including vector and hybrid search, entity resolution, or user modeling platforms. 
  • Hands on experience with LLM based systems: context construction, agent orchestration, evaluation harnesses, and grounding and safety techniques. 
  • Depth in privacy preserving and compliance sensitive data systems, including data residency, retention and deletion, and consent management. 
  • Demonstrated ability to operate in ambiguous and rapidly evolving problem spaces, balancing scientific exploration with engineering rigor to ship durable systems. 
  • Experience influencing and mentoring senior engineers across teams without direct authority.


Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


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.

Do you match this job?

Here is what this employer asked for. Sign in and we will fill in your half.

  • Role Principal Software Engineer
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Salary 166K - 296K Yearly
  • Work type Hybrid
  • Location United States
Check my match (free)
Microsoft
Hardware & Semiconductors · 500+ Members · Redmond, WA, United States

Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.

Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.

All jobs at Microsoft
Job Overview
Salary
166K - 296K Yearly
Eligibility
United States Right to work in the United States required.
Workplace
Hybrid
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

Share This Job: