Principal AI Inference Runtime Architect

Arm Limited

Seattle (WA)

Hybrid

USD 263,000 - 355,000

Full time

14 days+

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Benefits offered by this job

Hybrid working
Accommodations during recruitment

Job summary

Arm Limited is seeking a Principal Software Engineer for the AI Inference Runtime team in Seattle. You will set technical direction for distributed inference workloads, optimizing scheduling, batching, KV-cache, memory management, and kernel development to improve model throughput.

You will partner with AI Infrastructure, compute, and product teams to drive performance, reliability, and efficiency across platforms, shaping Arm’s AI platform strategy and production workloads.

Qualifications

  • 8+ years in ML or high-performance systems or production AI inference.
  • Deep understanding of modern AI inference, including model execution and KV-cache behavior.
  • Proficient in C++, Rust, Python and concurrent programming.

Responsibilities

  • Define architecture and roadmap for AI inference runtime capabilities.
  • Enable new model architectures end-to-end through optimization of scheduling and memory management.
  • Profile bottlenecks and develop optimized kernels and data paths across compute, memory, and networking.
  • Evaluate new inference techniques and build benchmarking and safe-rollout systems.
  • Partner with cloud, framework, compiler, hardware and research teams; mentor engineers.

Skills

ML systems
High-performance systems
Kernel development
Profiling & debugging
Concurrency & parallel programming
C++/Rust/Python

Tools

Kernels
Accelerator programming
intrinsics/assembly
Memory management

Job description

Arm Limited is seeking a Principal Software Engineer for the AI Inference Runtime team in Seattle. You will set technical direction for distributed inference workloads, optimizing scheduling, batching, KV-cache, memory management, and kernel development to improve model throughput.

You will partner with AI Infrastructure, compute, and product teams to drive performance, reliability, and efficiency across platforms, shaping Arm’s AI platform strategy and production workloads.

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