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# Principal AI Compiler Engineer

- **Company:** NXP
- **Location:** Austin, TX, United States
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Microprocessors, Hardware Design, Python (Programming Language), Machine Learning, Performance Tuning, Scrum Methodology, Tensorflow, Pytorch, Generative AI, Agentic-AI, Information Technology, Low Latency, ONNX (Open Neural Network Exchange) Format, Data Analytics, MLIR (Multi-Level Intermediate Representation)
- **Published:** October 12, 2026
- **Apply:** https://nxp.wd3.myworkdayjobs.com/careers/job/Austin-Oakhill-Office/Principal-AI-Compiler-Engineer_R-10063529

## About the Role

* MS/PhD (or equivalent experience) in Computer Science, EE, or related field
 * Deep experience building AI compilers, accelerator backends, or graph optimization frameworks.
 * Strong expertise in graph optimization and performance optimization 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 are required, e.g. agile development experience in Scrum team (Product Owner or Scrum Master)

## Description

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., * 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.
 * 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.