Senior AI Compiler Architect for Embedded Systems

NXP Semiconductors; Austin (TX); On-site; USD 170,000 - 210,000; Full time

Job summary

NXP Semiconductors in Austin, TX is seeking a hands-on AI Compiler Engineer who thrives at the convergence of cutting-edge AI, compiler tech, and hardware design. Here, you’ll architect and scale a production-class AI compiler toolchain, rethinking how AI automates, optimizes, and accelerates neural networks on NXP’s SoCs for embedded devices.

You will work with AI agents to map models to CPUs and accelerators, push quantization and codegen strategies, and collaborate across teams to deliver

Qualifications

• MS/PhD (or equivalent) in Computer Science, EE, or related field.
• Extensive experience building AI compilers, accelerator backends, or graph optimization frameworks.
• Strong expertise in graph optimization and performance tuning for NPUs or custom accelerators.
• Experience with MLIR, LLVM, TVM-like systems or proprietary compiler IRs.
• Excellent C/C++ and Python skills.
• Solid understanding of AI inference workloads (CNNs, transformers, perception or generative models).
• Strong communication skills and experience with agile development in Scrum teams.

Responsibilities

• Own the design, implementation, and evolution of an AI compiler toolchain that leverages AI agents to map neural networks onto NXP’s SoC platforms.
• Pioneer new graph transformations, lowering, scheduling, and codegen strategies for CPUs and custom accelerators, driven by 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.
• Partner with hardware and software architects, kernel hackers, and AI agents to co-design next-gen compiler and accelerator features, aligning silicon and code for maximum impact.
• Diagnose and crush performance bottlenecks with AI-enabled profiling and diagnostics, relentlessly tuning for latency, throughput, and power efficiency.
• Level up validation, benchmarking, and regression pipelines by harnessing AI agents—ensuring compiler correctness and world-class performance, release after release.
• Uplevel the developer experience by streamlining usability, diagnostics, and documentation—AI agents are your copilots for user support, troubleshooting, and rapid iteration.

Skills

AI compiler

Graph optimization

C/C++

Python

MLIR/LLVM/TVM-like

Scrum/agile

Hardware-software co-design

Education

MS/PhD in Computer Science or Electrical Engineering

Tools

PyTorch

TensorFlow

ONNX

MLIR/LLVM

Job description

NXP Semiconductors in Austin, TX is seeking a hands-on AI Compiler Engineer who thrives at the convergence of cutting-edge AI, compiler tech, and hardware design. Here, you’ll architect and scale a production-class AI compiler toolchain, rethinking how AI automates, optimizes, and accelerates neural networks on NXP’s SoCs for embedded devices.

You will work with AI agents to map models to CPUs and accelerators, push quantization and codegen strategies, and collaborate across teams to deliver