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Open nowPosted 143 days ago

Principal AI Compiler Engineer

nxp68 open roles

Where
Austin Oakhill Office
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Your applicationOpen nowPrincipal AI Compiler Engineernxp · Austin Oakhill Office

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. nxp postings stay open a median of 4 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 33.9%30 days
This job: posted 143 days ago

nxp median: 4 days open

The posting

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.
  • 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.

Qualifications:

  • 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)

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

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