Microsoft Logo

Microsoft

Software Engineer II and/or Senior Software Engineer - AI Compilers

Reposted Yesterday
In-Office or Remote
2 Locations
102K-261K Annually
Senior level
In-Office or Remote
2 Locations
102K-261K Annually
Senior level
Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption.
The summary above was generated by AI
Overview

The AI Frameworks team at Microsoft develops the AI software used to train and deploy the world’s most advanced AI models. We build state-of-the-art AI compilers and design new AI programming abstractions for Microsoft’s next-generation supercomputers and the Maia-200 AI accelerator. Our interdisciplinary team operates at the intersection of compiler engineering, programming language design, algorithmic innovation, AI, and high-performance computing. Our culture is highly collaborative and we regularly partner with hardware architects, platform engineers, researchers, and other groups across Microsoft. We also participate in the open-source community. We are seeking Software Engineers II and/or Senior Software Engineer - AI Compilers to join our AI Compiler team. This is a unique opportunity to join a dynamic team, working on cutting-edge technology that has a direct impact on every Microsoft business.


Responsibilities

As a member of the AI Compilers team you will have the opportunity to work on the following:

  • Invent and implement innovative compiler features and advanced optimization passes, leveraging tools such as LLVM, MLIR, Torch Dynamo, and Triton.
  • Develop code generation techniques for new hardware platforms.
  • Design and develop cutting edge AI software in C++ and Python.
  • Optimize AI workloads.
  • Design new programming abstractions for AI.
  • Collaborate broadly across multiple disciplines from hardware architects to ML developers.
  • Identify requirements, plan and design solutions, estimate effort, and schedule deliverables.
  • Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture.
  • Embody Microsoft's culture and values

Qualifications

Required Qualifications

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, 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 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++, or Python OR 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++, or Python OR equivalent experience.

Or PhD in Computer Science or related technical field AND 4+ years technical software engineering experience 

3+ years experience programming in C/C++.1+ years experience with optimized systems‑level programming.

Experience building compilers, using compiler frameworks like LLVM/MLIR, OR experience optimizing AI/numerical workloads, OR experience in numerical high-performance computing.

Experience with AI frameworks, AI inference systems, AI kernel development, and AI workload optimization.


Software Engineering 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.

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

Software Engineering IC4 - 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.

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.

Microsoft Mountain View, California, USA Office

1065 La Avenida, Mountain View, CA 94043, Mountain View, United States, 94043

Microsoft Palo Alto, California, USA Office

Palo Alto, United States

Microsoft San Francisco, California, USA Office

835 Market Street, Suite 700, San Francisco, CA 94103, San Francisco, United States, 94103

Microsoft San Jose, California, USA Office

San Jose, United States

Microsoft Sunnyvale, California, USA Office

Sunnyvale, United States

Similar Jobs

4 Minutes Ago
Remote or Hybrid
106K-197K Annually
Senior level
106K-197K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Owns the Campaign Management product platform, including product vision, multiyear strategy, roadmap, backlog, prioritization, KPIs, and stakeholder alignment. Partners with Agile teams, engineering, Marketing, Technology, and data organizations to modernize campaign execution, lead routing, and channel alignment capabilities. Leads customer-driven design, usability testing, delivery planning, product health monitoring, and regulatory prioritization while communicating value and managing expectations across the enterprise.
Top Skills: Agile
8 Minutes Ago
Remote or Hybrid
130K-160K Annually
Senior level
130K-160K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Provides technical sales support for Dynatrace observability solutions through product demonstrations, proof-of-concepts, cloud architecture discussions, customer presentations, RFIs and RFPs. Partners with sales teams, channel partners, customers, product management, marketing, and services teams. Leads technical evaluations, troubleshoots issues, supports events, identifies expansion opportunities, and communicates customer feedback. The hybrid role requires Denver-area residence and up to 30% travel.
Top Skills: .NetAdvanced ObservabilityAnsibleApplication Performance ManagementAWSCi/CdContainersCSSDevOpsDynatraceGoGoogle Cloud PlatformHTMLJavaJavaScriptKubernetesLinuxAzureNode.jsOpenshiftPHPPuppetServerless FunctionsSite Reliability EngineeringTerraformWindows
8 Minutes Ago
Remote or Hybrid
130K-160K Annually
Senior level
130K-160K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Provides technical sales support for Dynatrace observability solutions through product demonstrations, proof-of-concept leadership, cloud architecture discussions, RFI/RFP responses, and customer presentations. Partners with sales teams, channel partners, customers, product management, marketing, and services teams. Requires observability expertise, troubleshooting, DevOps and cloud knowledge, modern application technologies, automation experience, and travel up to 30%.
Top Skills: .NetAdvanced ObservabilityAnsibleApplication Performance ManagementAWSCi/CdContainersCSSDevOpsDynatraceGoGoogle Cloud PlatformHTMLJavaJavaScriptKubernetesLinuxAzureNode.jsOpenshiftPHPPuppetServerless FunctionsSite Reliability EngineeringTerraformWindows

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account