Senior Principal Researcher, AI Systems Architecture

Microsoft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$165,600–$296,400 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday
Closes
Apr 4, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $231k
$149k $312k
below market most similar roles pay here above market

This role pays more than 64% of similar roles. Most pay $170,000–$245,112 — the blue band above. At the midpoint, this role pays about $231k versus about $208k 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 648 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 624 roles with salary data.

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At a glance

TL;DR · Senior Principal Researcher, AI Systems Architecture

As a Senior Principal Researcher - AI Systems Architecture at Microsoft Research, you will lead research to connect frontier model behavior with runtime, memory, interconnect, and hardware architecture. You will define cross-layer architectures to improve sustained inference throughput, accelerator utilization, and energy efficiency. Your daily work involves first-principles workload analysis, architectural modeling, pre-silicon definition, and prototype evaluation. You will build analytical models, simulators, and experimental systems to validate hypotheses regarding computation, memory access, bandwidth, and power requirements. Key technical competencies include expertise in DRAM, HBM, CXL, GPU memory systems, 2.5D/3D integration, and high-speed scale-up interconnects. You will solve complex problems involving LLM inference, mixture-of-experts routing, and KV-cache behavior by translating new hardware capabilities into measurable system-level improvements across research and product engineering.

What you'll do

  • Lead end-to-end AI system, memory, and hardware architecture to identify cross-layer opportunities.
  • Develop architectural abstractions connecting AI model execution behavior with platform capabilities.
  • Analyze emerging AI workloads regarding computation, memory access, communication, and power requirements.
  • Drive pre-silicon architectural exploration, performance modeling, and implementation pathfinding for next-generation hardware.
  • Evaluate trade-offs across performance, bandwidth, latency, power, thermal limits, and total cost of ownership.
  • Build analytical models, simulators, prototypes, and experimental systems to validate architectural hypotheses.
  • Transfer promising research concepts toward production deployment and product engineering.

What we're looking for

  • Doctorate in Computer Science, Computer Engineering, Electrical Engineering, or relevant field and 6+ years related research experience.
  • Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant field and 7+ years related research experience.
  • Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field and 9+ years related research experience.
  • Equivalent experience to the degree and years of experience requirements.
  • Extensive experience in computer architecture, memory systems, silicon architecture, AI systems, platform design, or hardware/software co-design (preferred).
  • Experience reasoning across workload behavior, system software, memory hierarchy, interconnects, and hardware architecture (preferred).
  • Experience with pre-silicon architecture definition, modeling, feasibility analysis, or highly parallel accelerator-based systems (preferred).
  • Record of technical innovation demonstrated through research, patents, publications, prototypes, architecture delivery, or product deployment (preferred).

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