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Ottawa, Ontario, Canada
Onsite
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
Please note that the base salary range (OR hourly rate) is a guideline, and individual total compensation may vary based on a number of factors such as qualifications, skill level, work location, and other business and organizational needs. This base pay range is specific to roles in our Canada locations and is not applicable to other locations. A reasonable estimate of the base salary range as of the date of this posting is: $96,000 to $132,000 CAD.
