Microsoft Logo

Microsoft

Senior and/or Principal Software Engineer- AI GPU Performance

Reposted 3 Days Ago
In-Office or Remote
Hiring Remotely in United States
120K-304K Annually
Senior level
In-Office or Remote
Hiring Remotely in United States
120K-304K Annually
Senior level
Develop and optimize GPU kernels, compilers, runtimes, and distributed inference systems for large language model serving. Improve latency, throughput, reliability, and hardware efficiency through profiling and low-level performance optimization. Integrate scalable improvements into production systems, collaborate across model, infrastructure, compiler, and hardware teams, and mentor engineers. Principal-level contributors additionally lead cross-stack initiatives and create reusable performance capabilities across models and hardware generations.
The summary above was generated by AI
Overview

The Microsoft AI Frameworks team develops the software and systems that enable state-of-the-art AI models to run efficiently at cloud scale. We work across kernels, frameworks, compilers, runtimes, libraries, and hardware platforms, including NVIDIA and AMD GPUs and Microsoft silicon.


We are seeking hands-on Senior and/or Principal Software Engineers to deliver state-of-the-art performance for an Large Language Model (LLM) serving stack. You will optimize GPU kernels and distributed inference systems to improve latency, throughput, and hardware efficiency for OpenAI, Microsoft AI, and other models served at Microsoft.


Successful candidates combine strong systems engineering, deep performance expertise, disciplined measurement, and effective cross-team collaboration. 


As a Senior Software Engineer, you will own significant performance improvements across GPU kernels and inference runtime components, carrying optimizations from investigation through production. 


As a Principal Software Engineer, you will tackle the most difficult cross-stack performance challenges and create reusable capabilities that advance serving performance across models and hardware generations. 

 
At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone. 

Responsibilities

As a Senior Software Engineer: 

  • Develop and optimize GPU kernels and runtime components for state-of-the-art LLM serving performance. 

  • Profile workloads and improve latency, throughput, and hardware efficiency. 

  • Integrate robust, maintainable optimizations into production serving systems. 

  • Collaborate across model, compiler, infrastructure, and hardware teams. 

  • Use AI-assisted development tools effectively to accelerate the development process. 

  • Contribute to technical reviews, engineering standards, and mentoring. 

  • Embody Microsoft’s culture and values. 


As a Principal Software Engineer: 

  • Drive cross-stack optimization across kernels, compilers, runtimes, and distributed serving. 

  • Perform difficult, low-level optimization and resolve critical performance bottlenecks. 

  • Turn performance innovations into reusable production capabilities. 

  • Collaborate across research, infrastructure, and hardware teams to deliver measurable improvements. 

  • Use AI-assisted development tools effectively to accelerate the development process. 

  • Mentor senior engineers and raise engineering standards. 

  • Embody Microsoft’s culture and values. 


Qualifications

Required/Minimum Qualifications:

  • Bachelor’s Degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages such as 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.

Additional or Preferred Qualifications for Senior Software Engineer 

  • Expertise in GPU or equivalent accelerator programming and kernel optimization. 

  • Familiarity with vLLM, SGLang, or equivalent LLM inference libraries. 

  • Demonstrated cross-team collaboration and technical ownership. 

  • Ability to use AI-assisted development tools efficiently and validate their output. 


Additional or Preferred Qualifications for Principal Software Engineer 

  • Deep expertise in GPU or equivalent accelerator compilation pipelines and low-level architecture. 

  • Expertise in LLM training and inference parallelism and acceleration. 

  • Demonstrated ownership of cross-team technical initiatives from strategy through production. 

  • Track record of creating reusable platforms, influencing senior stakeholders, and mentoring technical leaders. 

 

#AIInfra


Software Engineering IC5 - 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.

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

49 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
350K-350K Annually
Senior level
350K-350K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Specialist Seller will lead AI product go-to-market efforts, partnering with Account Executives to drive strategy and build relationships with complex enterprise accounts, ensuring alignment of solutions with customer needs.
Top Skills: Ai ProductsAi-Based Commercial ModelsAutomation
49 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
100K-166K Annually
Senior level
100K-166K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customer implementations of Samsara’s IoT platform, from deployment planning through adoption and value realization. Build launch roadmaps, track implementation and account health, train executives and end users, resolve challenges, and coordinate with Sales, Support, Sales Engineering, Product, and other teams. Mentor Customer Success and Support colleagues while managing multiple customer engagements and strengthening long-term customer relationships.
Top Skills: Enterprise SoftwareIotSaaS
49 Minutes Ago
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
350K-350K Annually
Senior level
350K-350K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The role focuses on building executive relationships with strategic accounts, managing the entire sales process from prospecting to closing, and embodying Samsara's cultural principles. Candidates should have a proven track record in complex sales and enterprise dealings.

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