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Principal Software Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering

In short

As a Principal Software Engineer on the Maia Model Enablement team, you will define and drive the technical strategy for bringing frontier AI models to Microsoft's AI accelerators. You will lead complex, cross-stack investigations and drive platform-wide improvements in performance, scalability, and serving capabilities.

Responsibilities

  • Define and drive the technical strategy required to enable new AI models, model architectures, and hardware generations on Maia.
  • Lead complex cross-stack investigations spanning models, serving systems, infrastructure, and hardware, driving resolution of systemic technical challenges.
  • Drive platform-wide improvements in performance, scalability, and serving capabilities that benefit multiple models and future hardware generations.
  • Create durable automation, validation, and engineering systems that improve the speed, reliability, and repeatability of model enablement across the organization.
  • Align model, software, infrastructure, and hardware teams around shared technical direction, execution plans, and long-term platform investments.

Requirements

  • Bachelor’s Degree in Computer Science or a related technical field and 6+ years of technical engineering experience coding in languages such as C++, or Python, or equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements.

Desired Qualifications

  • Understanding of modern AI model architectures, inference systems, performance optimization, and serving stacks.
  • Experience diagnosing and resolving complex problems that span models, software, systems, infrastructure, and hardware.
  • Experience enabling software on new hardware platforms, accelerators, or large-scale systems through activities such as bring-up, performance characterization, hardware-software debugging, or platform enablement.
  • Experience leveraging modern engineering tools, including AI-assisted workflows, automation, and agents, to improve productivity and accelerate technical investigation.
  • Demonstrated ability to identify high-impact technical investments, drive them from concept through production, and create durable capabilities that improve how engineering work is performed.
  • Technical judgment and experience leading cross-team technical initiatives across complex and ambiguous problem spaces.
  • Ability to balance immediate delivery needs with long-term platform strategy and architectural direction.

Benefits

  • 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.

Skills

C++Python
#AI#Machine Learning#Software Engineering#Hardware#Optimization#Systems
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Company

Microsoft

Job Posted

4 days ago

Employment Type

Full Time

Work mode

Remote

Salary

US$142,800–304,200 · Negotiable

Experience Level

Senior

Locations

United States

Qualification

Bachelor

Applicants

Be an early applicant