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Principal Software Engineer, Performance Tooling

Mic*** · Redmond, WA, United States
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Redmond, WA, United States139,900-304,200 USD/yearlyRemote
Remuneration
139,900-304,200 USD/yearly
Location
Redmond, WA, United States
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Job summary

Overview The Artificial Intelligence (AI) Frameworks team at Mic*** develops AI software that enables running AI models everywhere, from world’s fastest AI supercomputers, to servers, desktops, mobile phones, internet of things (IoT) devices and internet browsers.

Benefits

And other compensation.Find additionalAnd pay information here:Https://careers.microsoft.com/us/en/us-corporate-payThis position will be open for a minimum of 5 days, with applications accepted oMicrosoft is an equal opportunity employer.If you need assistance with religious accommodations and/or a reasonable accommo

Qualifications

  • Required/Minimum
  • 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++, Python OR equivalent experience.
  • Ability to meet Mic***, customer and/or government security screening
  • are required for this role.
  • This includes passing the Mic*** Cloud background check upon hire/transfer and every two years thereafter.
  • Preferred/Additional
  • OR equivalent experience.
  • 8+ years of practical experience building, debugging, and optimizing high-performance distributed systems, AI inference/training workloads, or accelerator-backed compute platforms.
  • Recognized technical depth in software engineering, distributed systems, computer architecture, GPU/accelerator architecture, and hardware/software co-design for AI workloads.

Responsibilities

  • Define and drive the technical strategy for AI performance tooling and validation across multiple layers of the AI software stack, including programming models, compilers, runtimes, libraries, and model-serving APIs.
  • Architect scalable benchmarking and regression-detection systems for OpenAI and other state-of-the-art LLMs across GPUs, Mic*** accelerators, and emerging AI hardware platforms.
  • Lead deep performance investigations across model architecture, kernels, runtimes, networking, scheduling, and hardware behavior, and guide teams toward durable optimizations for production-scale training and inference.
  • Establish performance quality bars, readiness signals, and operating mechanisms that enable faster model and hardware bring-up while reducing regressions, deployment risk, and total hardware footprint.
  • Influence and align senior engineers, researchers, product leaders, and hardware partners across Mic*** and OpenAI to deliver high-impact, production-ready AI performance improvements.
  • Mentor and raise the technical bar for engineers across teams by modeling engineering excellence, improving design quality, and creating reusable systems that scale beyond a single project or product line.

Degrees

AssociateBachelorDegreeMaster

Industry

DefenseEnergyPublic-sector