About the role
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.
Skills & Tags
Aplyr's read
NXP Semiconductors drives innovation in the automotive and IoT sectors, attracting engineers and tech experts dedicated to cutting-edge semiconductor solutions.
What's promising
- •Strong focus on automotive and IoT markets, driving growth.
- •Global presence offers diverse career opportunities for engineers.
- •Investment in R&D supports innovation and technological advancement.
What to watch
- •Highly competitive semiconductor industry may pressure margins.
- •Dependence on automotive sector exposes company to market fluctuations.
- •Complex global supply chains can lead to operational challenges.
Why NXP Semiconductors
- •Leading provider of secure connectivity solutions for embedded applications.
- •Pioneers in automotive radar and advanced driver-assistance systems.
- •Robust portfolio in secure identification solutions sets it apart.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NXP Semiconductors
NXP Semiconductors is a global semiconductor company that provides high-performance mixed signal and standard product solutions. The company focuses on automotive, security, and IoT applications.
Similar roles
Staff Machine Learning Engineer - Edge AI
Samsara
Staff Machine Learning Engineer - Edge AI
Samsara
Principal Edge AI Software Architect
NXP Semiconductors
Sr. Manager, Development & Architecture, Physical & Edge AI
T-Mobile
Edge AI Software Product Manager
Intel
Senior Quantization Engineer - Edge AI Model Optimization
NXP Semiconductors