NXP Semiconductors Logo

NXP Semiconductors

Principal AI Compiler Engineer

Reposted 22 Days Ago
In-Office
Oak Hill, Austin, TX, USA
Mid level
In-Office
Oak Hill, Austin, TX, USA
Mid level
The Principal AI Compiler Engineer will design and enhance an AI compiler toolchain, integrating AI for optimizing neural network deployment on SoCs, partner with hardware teams, and improve performance through diagnostics and profiling.
The summary above was generated by AI

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.

#LI-6aa0

NXP Semiconductors Austin, Texas, USA Office

Austin, United States, 0

Similar Jobs

19 Days Ago
Hybrid
Expert/Leader
Expert/Leader
3D Printing
Design, implement, and scale an AI compiler toolchain for Renesas SoCs using AI agents. Develop graph transforms, lowering, scheduling, and codegen for CPUs and custom accelerators. Integrate with PyTorch/TensorFlow/ONNX, optimize quantization, operator fusion, memory/layout, and tune for latency, throughput, and power. Lead validation, benchmarking, diagnostics, and developer experience improvements while collaborating across hardware and software teams.
Top Skills: Ai AgentsCC++CodegenCompiler IrsCpuDspGpuGraph OptimizationLayout TransformationsLlvmMemory PlanningMlirNpuOnnxOperator FusionPerformance ProfilingPythonPyTorchQuantizationSchedulingSocTensorFlowTvm
3 Hours Ago
Hybrid
33K-55K Hourly
Senior level
33K-55K Hourly
Senior level
Fintech • Financial Services
Lead comprehensive loan file reviews and re-underwrites to assess credit decisions, closing compliance, and appraisal collateral quality. Research and validate complex or escalated loans, resolve transition and processing issues, mentor junior specialists, and report findings and recommendations to management.
Top Skills: ExcelMicrosoft OutlookMicrosoft WordWells Fargo Core Origination System
3 Hours Ago
Hybrid
33K-55K Hourly
Senior level
33K-55K Hourly
Senior level
Fintech • Financial Services
Lead comprehensive loan reviews including re-underwrites, closing document compliance checks, and appraisal assessments. Research and validate complex or escalated loan files, resolve transition and processing issues, report findings, and mentor junior specialists. Collaborate with peers and management to meet process deliverables and ensure adherence to lending policies and investor requirements.
Top Skills: ExcelMS OfficeOutlookWells Fargo Core Origination SystemWord

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account