Microsoft Logo

Microsoft

Principal Software Engineer - Performance

Posted 2 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
166K-331K Annually
Expert/Leader
Remote
Hiring Remotely in United States
166K-331K Annually
Expert/Leader
Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.
The summary above was generated by AI
Overview

The Artificial Intelligence Performance team at Microsoft develops AI software that enables running AI models efficiently. We collaborate with our hardware teams and partners, both internal and external, and operate at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a team of highly capable and motivated people that pride themselves on a collaborative and inclusive culture. We own inference performance of OpenAI and other state of the art LLM models and work directly with OpenAI on the models hosted on the Azure OpenAI service serving some of the largest workloads on the planet with trillions of inferences per day in major Microsoft products, including Office, Windows, Bing, SQL Server, and Dynamics. 

 

This is a hands-on technical leadership role for an engineer who can establish direction and lead teams through ambiguous, end-to-end systems challenges. Successful candidates combine strong software engineering fundamentals with deep curiosity about AI workloads, use disciplined measurement to guide decisions, and create alignment across organizational boundaries to deliver measurable production impact.  

 

As a Principal Software Engineer - Performance, you will serve as a technical lead for high-impact initiatives spanning AI frameworks, performance engineering, benchmarking, and tooling. You will establish technical direction, drive architectural decisions, and lead engineers across teams through the design and delivery of solutions that improve model velocity, platform efficiency, and production reliability. You will also identify systemic opportunities, align stakeholders around durable architectures and success measures, and remain hands-on in critical areas of implementation.


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 technical vision, architecture, roadmap, and multi-release execution strategy for critical AI framework, performance, benchmarking, or developer-productivity capabilities.  

  • Lead technical alignment across teams by shaping architecture and priorities, resolving competing requirements, and holding researchers, product groups, infrastructure owners, and hardware partners accountable to clear decisions, execution plans, and measurable outcomes.  

  • Build technical leadership capacity across the organization by mentoring engineers, developing emerging technical leads, establishing high standards for quality and maintainability, and creating an inclusive engineering culture in which teams can execute effectively at scale.  

  • Steer ambiguous, cross-stack investigations and investments spanning models, frameworks, compilers, runtimes, systems, services, and silicon; set technical priorities, resolve trade-offs, and drive teams to decisions.  

  • Provide hands-on technical leadership by setting the engineering approach, delegating and unblocking critical work, and directly contributing through prototypes, critical-path implementation, design and code reviews, complex debugging, and operational readiness.  

  • Spearhead common measurement, automation, observability, and engineering mechanisms that turn one-off analyses into scalable platform capabilities.  

  • Drive measurable improvements in model onboarding velocity, runtime performance, reliability, hardware utilization, and Azure capacity efficiency.  

  • Embody Microsoft’s culture and values.  


Qualifications

Required Qualifications:  

  • Bachelor’s Degree in Computer Science or a related technical field and 8+ 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. 

 

Preferred Qualifications:   

  • 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++ 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++ or Python   

    • OR equivalent experience.  

  • Demonstrated experience serving as a technical lead for complex cross-team initiatives, including setting strategy, driving architectural decisions, aligning stakeholders, and driving execution from concept through production.  

  • Robust/extensive experience designing and shipping complex, high-performance or distributed software systems  

  • Deep foundation in software architecture, computer architecture, and accelerator-aware optimization  

  • Advanced experience with AI/ML workloads and frameworks  

  • Proven track record of creating reusable platforms, influencing senior technical and business stakeholders, developing other technical leaders, and scaling engineering practices across teams.  


#AIInfra


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

12 Days Ago
Remote
United States
160K-253K Annually
Expert/Leader
160K-253K Annually
Expert/Leader
Cloud • Security • Software • Generative AI
Lead Elasticsearch performance engineering from architecture through production. Develop performance models, optimize distributed systems, profile bottlenecks, build benchmarks, detect regressions, and improve scalability across stateful and serverless architectures. Design AI-assisted optimization and benchmarking tools, collaborate across teams, define performance strategies, and mentor engineers. The role requires deep Java, JVM, concurrency, distributed systems, and search or data-store performance expertise.
Top Skills: C++Distributed SystemsElasticsearchFlamegraphsJavaJmhJvmRallyRustSimd
13 Days Ago
In-Office or Remote
2 Locations
272K-431K Annually
Expert/Leader
272K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Serve as NVIDIA's CSP-facing principal for end-to-end performance: drive characterization with hyperscaler engineering teams, gather and synthesize workload feedback, prioritize optimizations across CUDA/NCCL/driver/firmware, validate benchmarks and tools, update stress/profiling tooling, define test strategies, and ensure performance integration and acceptance for customer-representative configurations.
Top Skills: CudaDashboardsDcgm MetricsDeepspeedDgxFirmwareFsdpGpu BlastGpu BurnHgxMegatron-LmNcclNsight ComputeNsight SystemsNvidia DriverNvlinkPandasPythonSglangStreamTensorrt-LlmVllm
17 Minutes Ago
Remote or Hybrid
118K-201K Annually
Senior level
118K-201K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and support PTC Windchill PLM capabilities, including BOM and change management, digital thread and model-based engineering capabilities. Integrate CAD systems and enterprise applications using web services and database connections. Provide customer support, upgrade and install PLM releases, and analyze infrastructure components such as RHEL servers, TomEE, JavaScript, REST APIs, Java programs, and logs. Apply software debugging and testing practices to maintain compliant, supportable environments.
Top Skills: CadCodebeamerJavaJavaScriptPtc WindchillRest ApisRhelRv&SSQLTclThingworxTomee

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account