Microsoft Logo

Microsoft

Principal Software Engineer- Compute Graph Compiler (CGC) Team

Reposted 4 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
166K-331K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in United States
166K-331K Annually
Expert/Leader
Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.
The summary above was generated by AI
Overview

The Compute Graph Compiler (CGC) team within DirectX is building core compiler and execution technologies that power the Windows Machine Learning Platform. Our mission is to make Windows the best platform for AI development and deployment, enabling efficient execution of machine learning workloads across CPUs, GPUs, and NPUs from a broad ecosystem of silicon partners. CGC sits at the heart of the Windows ML ecosystem, powering experiences used by millions of developers and customers worldwide. Our technologies enable computer vision, audio, video, gaming, and generative AI workloads across the Windows platform, including emerging AI-first experiences and next-generation Copilot+ PC capabilities. As AI becomes a fundamental platform shift, CGC is responsible for the compiler infrastructure, optimization frameworks, execution engines, and hardware abstractions that unlock the performance and efficiency of modern AI accelerators. We work closely with Microsoft AI platform teams, hardware partners, and operating system components to define the future of AI execution on Windows.  

We are looking for a Principal Software Engineer to help define and drive the next generation of AI compute infrastructure for Windows. In this role, you will lead architecture and technical strategy across compiler technologies, execution runtimes, and hardware acceleration platforms spanning CPUs, GPUs, and NPUs. You will influence the direction of Microsoft's AI platform, collaborate with industry-leading silicon partners, and drive innovations that enable efficient execution of increasingly complex AI workloads. This role is ideal for engineers who are energized by large-scale platform engineering, deep systems work, and the opportunity to shape technology that impacts millions of users and developers.

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

A successful candidate for this position will be one who: 

  • Define and drive the technical vision, architecture, and roadmap for key components of the Windows ML compiler stack.
  • Lead cross-team initiatives that improve AI workload performance, scalability, and efficiency across CPU, GPU, and NPU hardware.
  • Drive NPU enablement strategy and advanced optimization techniques for next-generation AI processors.
  • Partner with hardware vendors and internal platform teams to influence future AI hardware and software capabilities.
  • Design and develop high-performance compiler infrastructure, execution engines, and developer tooling.
  • Identify and solve complex systems challenges involving scheduling, memory management, code generation, graph optimization, and hardware abstraction.
  • Mentor and support engineers across experience levels and provide technical leadership across multiple projects and organizations.
  • Help shape Microsoft's long-term strategy for on-device AI and generative AI execution on Windows. 

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 Qualification: 

  • Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience. 
  • 6+ years of experience working at low levels of software stack, device driver development, and/or integration of hardware and software
  • Deep knowledge with hands-on experience in ML compiler, tool, and platform technology.

  • 10+ years of experience delivering world-class system software.

  • In-depth experience and knowledge in operating system development in either user-mode or kernel-mode driver development.

  • A proven track record of significant technical leadership in research and development of AI platforms or frameworks technology.

  • Prior experience in the design and development of ML hardware microarchitecture in real-world products.

  • Proficient communication/customer interfacing skills and the ability to deal with ambiguity and prioritize issues.

#W+DJOBS 

#MLCompilers, #MLPlatform, #Runtime, #Kerneloptimizations


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.

Similar Jobs

An Hour Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate property and casualty coverage, and converts prospects into policyholders. The role includes paid licensing and training, customer service, sales closing, and schedule flexibility. Employees must complete remote-work requirements, maintain high-speed wired internet, and work four weekdays plus one weekend day. A Property and Casualty license is required after hire.
Top Skills: PcWired High-Speed Internet
An Hour Ago
Remote or Hybrid
CA, USA
32K-63K Hourly
Senior level
32K-63K Hourly
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Manage end-to-end onboarding and implementation for Square merchants, guiding discovery, configuration, training, hardware installation, data migration, and go-live activities. Partner with Sales, Account Management, Customer Success, Engineering, and Product to resolve obstacles, manage timelines, improve onboarding efficiency, and document feature requests. The role requires customer-facing communication, project management, cross-functional coordination, bilingual English and Spanish fluency, and PST or MST time-zone availability, with occasional onsite merchant work.
Top Skills: Data MigrationHardware InstallationNetwork ConfigurationPayment ProcessingPos SystemsSquare Platform
An Hour Ago
Remote or Hybrid
Junior
Junior
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Promotes pharmaceutical products through academic visits and medical information delivery. Builds relationships with target healthcare experts, identifies customer needs, supports market strategy, influences prescribing perspectives, and increases product market share. Maintains a positive professional and company image while meeting assigned performance targets. The role prefers oncology product promotion experience, particularly in lung cancer, breast cancer, urology, or medical oncology, along with prior multinational pharmaceutical company experience.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account