Drimva

Microsoft

Principal Software Engineer- AI Frameworks

$143K–$304K

United States · On-site · Principal · Full-time · Posted Oct 23, 2026

Experience
6+ years of technical engineering experience; equivalent experience is accepted.
Education
Bachelor’s Degree in Computer Science or a related technical field, or equivalent experience.

About the job

Leads hands-on engineering initiatives that build and improve AI frameworks, performance systems, benchmarking, and tooling for reliable, efficient AI models at cloud scale.

What you'll do

  • Set technical vision and architecture for AI framework, performance, benchmarking, and developer-productivity capabilities.
  • Lead cross-stack investigations and deliver measurable improvements in model onboarding, runtime performance, reliability, hardware utilization, and Azure capacity efficiency.
  • Provide hands-on technical leadership through implementation, reviews, debugging, operational readiness, and mentoring.

What they ask for

  • 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, including passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Nice to have

  • Expertise in GPU or equivalent accelerator programming, compilation, and low-level execution.
  • Expertise in LLM parallelism, distributed inference acceleration, or serving architectures such as vLLM and SGLang; cross-team technical leadership and mentoring experience are also noted.

Pay

USD $142,800 - $274,800 per year (base salary); USD $188,000 - $304,200 per year (base salary)

Tools

C++, Python, NVIDIA, AMD GPUs, Microsoft silicon, Azure, vLLM, SGLang

AI focus

Builds and optimizes AI frameworks, model performance, benchmarking, and tooling; the role spans AI model execution, GPU/accelerator programming, LLM training and inference, and AI-assisted development practices.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)