Principal Software Engineer

Microsoft

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$142,800–$274,800 / yr
Posted
13 days ago
Freshness
Confirmed live yesterday
Closes
Feb 24, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $209k
$127k most similar roles pay here $291k

This role pays more than 66% of similar roles. Most pay $174,600–$225,000 — the shaded band above. At the midpoint, this role pays about $209k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 586 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · Principal Software Engineer

As a Principal Software Engineer within Microsoft Research, you will join a global team focused on building high-performance infrastructure to accelerate the research lifecycle. You will be responsible for designing, testing, and maintaining large-scale research platforms that power compute clusters while optimizing performance across diverse hardware. Your daily work involves developing end-to-end systems, libraries, and tools, including agentic workflows to automate development loops. The role requires expertise in distributed computing, GPU programming with CUDA and NCCL, and frameworks like PyTorch. You will also navigate complex networking, storage systems, and distributed training parallelisms. To succeed, you must be proficient in languages such as C, C++, C#, Java, JavaScript, or Python. This position addresses the critical challenge of bridging general AI with specialized applications by building robust infrastructure for large-scale machine learning and generative AI workloads.

What does a Software Engineer earn in Washington?

Median $202800 from 326 postings across 28 companies.

See salary data

What you'll do

  • Design, test, and maintain large-scale research platforms to optimize performance across diverse hardware.
  • Develop end-to-end systems, libraries, and tools to accelerate the pace of AI research and agentic development.
  • Create and manage the long-term roadmap for AI infrastructure by identifying emerging technologies and investment areas.
  • Provide technical leadership, mentorship, and vision to other team members.
  • Profile, benchmark, and optimize large performance-critical systems for high-scale machine learning workloads.
  • Build infrastructure for distributed training using tools like Kubernetes, Docker, or SLURM.
  • Develop agentic workflows to automate internal and external AI development loops.

What we're looking for

  • Bachelor's degree in Computer Science or related field and 6+ years of technical engineering experience.
  • Master's degree in Computer Science or related field and 8+ years of technical engineering experience.
  • Bachelor's degree in Computer Science or related field and 12+ years of technical engineering experience.
  • Proficiency in coding with languages such as C, C++, C#, Java, JavaScript, or Python.
  • Experience with distributed computing and building infrastructure for large-scale machine learning or generative AI workloads.
  • Expertise in Kubernetes, Docker, Volcano, SLURM, or similar technologies.
  • Experience with GPU programming (CUDA, NCCL) and frameworks like PyTorch.
  • Deep expertise in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.

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