Principal Silicon Performance Architect

Microsoft

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Salary
$165,600–$296,400 / yr
Posted
81 days ago
Freshness
Confirmed live yesterday
Closes
Dec 19, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k
This role $231k
$150k most similar roles pay here $312k

This role pays more than 57% of similar roles. Most pay $187,850–$254,750 — the shaded band above. At the midpoint, this role pays about $231k versus about $221k 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.

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At a glance

TL;DR · Principal Silicon Performance Architect

As a Principal Silicon Performance Architect, you will join an agile engineering team focused on artificial intelligence performance from micro-architecture exploration through end-to-end workload validation. You will own performance modeling and analysis for current and future AI workloads, translating hardware and software architectural ideas into simulator implementations while running rigorous experiments across design variants. Your daily work involves extending simulation infrastructure to model new innovations for AI inference, performing design-space exploration using automated workflows, and providing data-driven recommendations to influence architecture decisions. You will collaborate with chip, system, and software architects to evaluate trade-offs in throughput, latency, and efficiency. The role requires proficiency in C, C++, and Python to modify architectural simulators and performance modeling codebases while addressing technical challenges within the AI inference software stack, including compilers, runtimes, and model serving systems.

What you'll do

  • Extend and adapt simulation infrastructure to model new micro-architecture innovations for AI inference.
  • Analyze performance of current and future AI workloads across latency, throughput, and efficiency dimensions.
  • Conduct design-space exploration using AI-assisted workflows, automation, and large-scale experiment generation.
  • Translate hardware and software architectural ideas into functional simulator implementations.
  • Provide data-driven recommendations to influence architecture and product decisions.
  • Evaluate and iterate on architectural variations in collaboration with chip, system, and software architects.

What we're looking for

  • Bachelor's Degree in Computer Science or a related technical field.
  • 8+ years of technical engineering experience including coding in C/C++ and Python.
  • Ability to pass Microsoft Cloud Background Check and other required security screenings.
  • Advanced degree in Electrical Engineering, Computer Engineering, or a related field is preferred.
  • Experience in chip or micro-architecture analysis at the logical level.
  • Experience in performance engineering, including profiling, bottleneck analysis, and trade-off analysis.
  • Experience using performance modeling or simulation to evaluate hardware/software trade-offs.
  • Experience with AI inference acceleration, GPU performance analysis, and the AI inference software stack.

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