Location: Kanata, Ontario, Canada

About the Role

Join NXP’s AI & Chip Engineering (ACE) organization—one of the key hubs for Edge AI innovation—based in Kanata. In this role, you’ll contribute to the development of embedded AI solutions powering next-generation automotive, industrial, and intelligent edge systems. You will work alongside experienced engineers to bring machine learning models to real-world embedded platforms, focusing on performance, reliability, and scalability. This is a great opportunity to grow your expertise in Edge AI software, embedded systems, and AI deployment workflows, while working on impactful, production-grade technologies.

What You’ll Do

• Develop and optimize Edge AI SW products on NXP SoCs (MCU/MPU)

• Assist in deploying machine learning models to embedded platforms with real-time constraints

• Contribute to AI inference pipelines and runtime integration

• Support performance optimization (latency, memory, power) through profiling and tuning

• Work with cross-functional teams (AI, system, and silicon teams) to integrate solutions

• Participate in the development lifecycle: implementation, testing, debugging, and validation

Core Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field

• 2–5 years of experience in embedded software development (C/C++, Python)

• Familiarity with Linux-based embedded systems

• Experience with software debugging, profiling, and performance tuning

• Familiarity with AI frameworks (TensorFlow, PyTorch, ONNX, TFLite)

• Exposure to AI/ML, DSP, or computer vision algorithms (academic or industry)

• Strong problem-solving skills and attention to detail

Preferred Skills

• Basic understanding of processor architecture (e.g., ARM, SIMD/NEON)

• Exposure to hardware acceleration (GPU, DSP, NPU) is a plus

• Awareness of model optimization techniques (quantization, pruning)

• Knowledge of automotive software standards (e.g., ISO 26262, AUTOSAR) is a plus

What We’re Looking For

• Strong interest in Edge AI and embedded systems

• Eagerness to learn and grow in AI software and system optimization

• Ability to collaborate effectively in a team environment

• Proactive attitude and willingness to take ownership of assigned tasks