Principal Engineer – Distributed AI Systems Architecture (Heterogeneous Compute)

**Job Details:**

**Job Description:**

We are seeking a Principal Engineer to define and architect the next generation of distributed AI systems across heterogeneous compute platforms, including CPUs, GPUs, IPUs/FNICs/FNICs, and emerging dataflow accelerators.
This role focuses on one of the hardest problems in modern computing:
How to dynamically execute and optimize large-scale AI computation graphs across diverse hardware while managing state, locality, and performance at system scale.
You will operate at the intersection of systems architecture, high-performance computing, and AI infrastructure-defining the execution model, runtime abstractions, and placement strategies that turn a rack of heterogeneous devices into a coherent, programmable system.

Key Responsibilities
1. Dynamic Execution of Distributed Computation Graphs
• Define a runtime model for executing AI workloads as distributed computation graphs across heterogeneous resources
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