Principal Engineer – Distributed Ai Systems Architecture (heterogeneous Compute)

Intel

Santa Clara, California, United States
Base: $255,850.00-$361,200.00 usd; bonus/equity: s...
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Distributed ai systems architecture
Heterogeneous compute platforms (cpu/gpu/ipu)
Dynamic execution of computation graphs
** Intel is seeking a Principal Engineer to lead the design and architecture of distributed AI systems that operate across heterogeneous compute platforms. The role requires extensive experience in systems architecture, high-performance computing, and AI frameworks, focusing on dynamic execution and optimization of AI computation graphs. **

Job Summary

  • This role focuses on defining the runtime model and abstractions to dynamically execute large-scale AI computation graphs across diverse hardware resources.
  • The engineer will architect systems where state is a first-class concern, optimizing for minimal data movement and efficient access to distributed state.
  • Intel offers a competitive total compensation package including stock bonuses, health benefits, retirement plans, and vacation time.

Matching Summary

Match Score: 75

** Intel is seeking a Principal Engineer to lead the design and architecture of distributed AI systems that operate across heterogeneous compute platforms. The role requires extensive experience in systems architecture, high-performance computing, and AI frameworks, focusing on dynamic execution and optimization of AI computation graphs. **

Salary

Base: $255,850.00-$361,200.00 USD; Bonus/Equity: Stock bonuses included; Benefits: Health, retirement, and vacation programs

Skills & Requirements

Must-have

  • Distributed AI systems architecture
  • Heterogeneous compute platforms (CPU/GPU/IPU)
  • Dynamic execution of computation graphs
  • Stateful scheduling and memory-centric design
  • Mixture-of-Experts (MoE) model optimization
  • 12+ years experience in systems architecture

Nice-to-have

  • Experience with dataflow models and stream processing
  • Background in building developer-facing SDKs
  • Familiarity with modern AI frameworks and runtimes
  • Experience with automated workload partitioning
  • Strong mentorship and cross-team leadership skills

Key Requirements

  • Bachelor's degree in Computer Science or equivalent
  • 12-plus years of experience with Bachelor's degree
  • Proven expertise in AI framework architecture and protocols
  • Deep experience in high-performance computing and distributed systems

Work Rights

Not specified

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