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Principal AI Performance Engineer

San Jose, California💼 Full-time💰 $262,700–$262,700🗓 2026-06-22 → 2026-07-22

Core

Optimizing AI workloads and delivering real-world performance improvements on edge devices for Arm technology.

Role type

Principal AI Performance Engineer

Builds

Production quality reference implementations and optimized kernel-level solutions for DNN models

Domain

Semiconductor / AI Inference / Edge Computing

Deliverable

production ML models

Required skills

DNN optimization, kernel-level programming (Triton, CUDA), parallel computing, memory hierarchy management, C++, Python, profiling and analysis tools

Preferred skills

Customer-facing engineering experience, Arm ecosystem familiarity, edge device AI optimization background

Technologies

Triton, CUDA, Arm technology

Responsibilities

Develop highly optimized solutions for AI workloads from kernel to system level; Create production quality reference implementations and performance-focused technical content; Act as a technical bridge between customers and internal teams to resolve complex performance issues; Influence Arm's IP and software roadmap through real-world customer insights

Seniority

Principal, hands-on IC with strategic influence

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