Principal AI Compiler Engineer

NXP Semiconductors

AI Compiler Engineer at NXP developing a production-class compiler toolchain for embedded AI applications. Collaborate with engineers to build efficient neural network executables on NXP SoCs.

Posted 5/17/2026full-timeAustin • California, Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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)

Benefits

Comp & perks

Career Development Opportunities
Commitment to sustainability
Development of core and professional skills
Online and offline learning opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI compilergraph optimizationperformance optimizationCC++PythonMLIRLLVMTVMAI inference workloads

Soft Skills

communicationagile developmentScrumteam collaborationuser supporttroubleshootingrapid iteration

Certifications

MS in Computer SciencePhD in Computer Scienceequivalent experience