Location: Kanata, Ontario, Canada
About the RoleJoin NXP's
AI & Chip Engineering (ACE) organization-one of the company's flagship hubs for
Edge AI innovation-based in Kanata. You'll work at the forefront of
embedded AI, enabling next-generation
agentic AI, generative AI, and machine learning workloads on automotive and edge platforms. Your contributions will directly power intelligent systems across automotive, robotics, and industrial applications-where real-time, reliable AI matters. This role focuses on translating advanced AI models into
optimized, production-grade embedded solutions, driving performance, efficiency, and scalability on NXP silicon.
What You'll Do- Design, develop, and optimize high-performance Edge AI software for NXP embedded SoCs (MCU/MPU/NPU)
- Enable deployment of machine learning and generative AI models, build and integrate AI runtimes, inference engines, and model pipelines for real-time execution
- Drive performance optimization (latency, memory, power) through low-level system tuning
- Collaborate across system, silicon, and AI teams to deliver end-to-end AI solutions
- Participate in the full lifecycle: architecture 12 implementation 12 validation 12 production
- Contribute to next-gen Edge AI frameworks and platform enablement
Core Qualifications- Bachelor's (minimum) or Master's/PhD in Computer Science, Electrical Engineering, or related field and 10+ years of overall experience
- 3+ years of experience in embedded software development (C/C++, Python)
- Strong experience with Linux-based embedded systems and performance-critical applications
- Understanding of processor architectures (ARM, SIMD/NEON, GPU/NPU acceleration)
- Experience with AI frameworks (TensorFlow, PyTorch, ONNX Runtime, LiteRT) or custom runtimes, implementing or deploying AI/ML, DSP, or computer vision algorithms
- Proven track record in system-level optimization (CPU, memory, I/O, vectorization)
- Strong debugging, profiling, and analytical skills
Preferred Skills- Familiarity with hardware acceleration and offload (OpenCL, CUDA, DSP toolchains)
- Experience with model optimization techniques (quantization, pruning, graph optimization)
- Knowledge of automotive standards (ISO 26262, Automotive SPICE, AUTOSAR, MISRA)
- Exposure to Edge AI deployment pipelines and benchmarking methodologies
What Sets You Apart- Passion for bringing AI to real-world embedded systems
- Ability to operate across software, hardware, and AI domains
- Strong ownership mindset with the ability to lead technical initiatives
- Collaborative and proactive approach in cross-functional environments
Why Join NXP- Work on real-world AI systems deployed at scale across automotive and edge domains
- Be part of a globally recognized leader in secure embedded processing
- Access continuous learning, career growth, and cutting-edge innovation opportunities
- Contribute to a smarter, safer, and more sustainable future
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