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, particularly within agile development environments like Scrum.
Responsibilities
Design, implement, and evolve an AI compiler toolchain using AI agents to map neural networks onto SoC platforms.
Develop new graph transformations, lowering, scheduling, and code generation strategies informed by AI analytics.
Integrate with leading AI frameworks (e.g., PyTorch, TensorFlow) to onboard new model architectures and operations efficiently.
Enhance quantization, operator fusion, and memory planning through AI-guided design practices.
Collaborate with hardware and software teams to co-design next-gen compiler features for optimized performance.
Identify and resolve performance bottlenecks using AI-enabled profiling tools for improved efficiency.
Improve validation and benchmarking workflows using AI agents for precision and performance consistency.
Benefits
Flexible work location options in California or Texas
Opportunity to work with cutting-edge AI and compiler technologies
Collaborative environment with visionary engineers and AI integration
Focus on real-world impact through hardware-software co-design
Potential for professional growth in a rapidly evolving field.
Full Job Description
Locations available: San Diego and San Jose, California or Austin, Texas
NXP is searching for a hands-onAI Compiler Engineerwho thrives at the convergence of cutting-edge AI, compiler tech, and hardware design. Here, youll 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 NXPs SoCs. Youll work shoulder-to-shoulder with visionary engineersboth human and AIenabling adaptive compilers that learn, evolve, and redefine whats possible for embedded intelligence. With a relentless focus on hardware-software co-design, youll 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 isnt a catchphraseits 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 NXPs 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 transformationscombining 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 agentsensuring compiler correctness and world-class performance, release after release.
Uplevel the developer experience by streamlining usability, diagnostics, and documentationAI 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)
About NXP Semiconductors
NXP Semiconductors N.V. is a Dutch semiconductor manufacturer with headquarters in Eindhoven, Netherlands. The company employs approximately 31,000 people in more than 35 countries, including 11,200 engineers in 33 countries. NXP reported revenue of $8.88 billion in 2020. The company's products are used in a wide range of automotive, identification, wireless infrastructure, lighting, industrial, mobile, consumer and computing applications. NXP is the co-inventor of near field communication (NFC) technology along with Sony and supplies NFC chip sets that enable mobile payments, as well as secure access to cars and buildings.
