Edge AI Model Optimization Software Engineer

About this role

We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!


Job Summary
We are looking for a hands-on AI Optimization Engineer who thrives at the intersection of algorithms, systems engineering, and production-grade software. We are looking for someone who wants to work at the heart of state-of-the-art AI, not yesterday’s models, but the frontier: Generative AI, Transformers, Vision-Language Models (VLMs), and the emerging wave of Agentic AI systems.


In this role, you will contribute to the engineering of the core optimization technology that makes these advanced models run efficiently on NXP’s next-generation edge platforms, such as Ara 2. While Neural Network Quantization will be your primary focus, your impact will go far beyond it. You will architect high-performance software and collaborate across compiler, and hardware teams. Your work will directly define how frontier AI models are executed on-device, enabling fast, reliable, and power-efficient GenAI on resource-constrained platforms.


If you want to work where AI innovation meets real-world engineering, and build the infrastructure that defines what tomorrow’s smart, autonomous, AI-powered devices can do, this is the role for you.


Job Responsibilities

• Optimization Tools: Own and evolve our production-grade optimization tools. You will design and implement quantization features, including mixed-precision flows that are robust enough for global deployment.
• Pipelines: Design and maintain scalable PTQ (Post-Training Quantization) and QAT (Quantization-Aware Training) workflows, ensuring seamless integration with other optimizations and downstream deployment stacks.
• Applied Innovation & Tooling: Collaborate on Proof‑of‑Concepts (POCs) for s...