Principal AI Compiler Engineer
Nxp
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This role on the market
131 open compiler roles across 22 companies are on ApplySarthi right now, most of them in Bengaluru (11), Pune (1), Hyderabad (1).
- Senior Compiler Engineer C++/LLVM - GlasgowGuardsquare
- GPU Compiler InternNvidia
- Quadrants: Compiler LeadGenesis
- Compiler Performance EngineerIntel
- Advanced Compiler Engineer - Quantum SoftwareQuantinuum
What compiler roles keep asking for: C++ (73%), Deep learning (34%), Python (34%), PyTorch (28%), Machine learning (18%), Rust (13%) — counted across their open postings here.
C++ jobs · PyTorch jobs · Python jobs · TensorFlow jobs
Nxp has 810 open roles listed here.
- Senior Cyber Threat Intelligence Analyst
- Learning Management Systems Specialistbengaluru
- Technical Director, SoC Architectpune
- Senior Product Engineer - Secure Transactions & Identification (m/f/d)
- Etch Equipment Engineer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for compiler roles keep coming back to C++, Deep learning, Python, PyTorch. Practise those questions before you sit with Nxp.
Questions you are likely to be asked
- Why do you want to join Nxp?
- What is your experience with Agile? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Principal AI Compiler Engineer at Nxp interview free →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
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Listed on workday · posted 2026-10-08. ApplySarthi collects openings and links to application pages; the role is advertised by Nxp, not by us.