Principal AI Compiler Engineer

Job description

Locations available: San Diego and San Jose, California or Austin, Texas

NXP is searching for a hands-on AI Compiler Engineer who thrives at the convergence of cutting-edge AI, compiler tech, and hardware design. Here, you’ll not only architect and scale a production-class AI compiler toolchain, but also rethink how AI automates, optimizes, and accelerates every step of building and deploying neural networks on NXP’s SoCs. You’ll work shoulder-to-shoulder with visionary engineers—both human and AI—enabling adaptive compilers that learn, evolve, and redefine what’s possible for embedded intelligence. With a relentless focus on hardware-software co-design, you’ll collaborate across teams to translate high-level AI models into blazing-fast, energy-efficient executables, unlocking the full potential of our silicon for real-world impact. Innovation here isn’t a catchphrase—it’s your everyday.

Job Responsibilities:

• Own the design, implementation, and evolution of an AI compiler toolchain that leverages AI agents to seamlessly map neural networks onto NXP’s SoC platforms.
• Pioneer new graph transformations, lowering, scheduling, and codegen strategies for CPUs and custom accelerators, driven by insights from AI-powered analytics.
• Build deep integrations with leading AI frameworks (PyTorch, TensorFlow, ONNX, and more), using AI agents to rapidly onboard new model architectures and ops.
• Push the envelope on quantization, operator fusion, memory planning, and layout transformations—combining human expertise and AI-guided design for state-of-the-art results.
This is an excerpt. Read the full job description on NXP Semiconductors careers →