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Edge AI Model Optimization Software Engineer

$MXN 60,612-77,413/month
Indeed
Full-time
Onsite
No experience limit
No degree limit
Heroico Colegio Militar 323, Reforma, 44890 Guadalajara, Jal., Mexico
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Description

Job Summary: NXP is seeking a hands-on engineer to optimize cutting-edge AI—including generative AI and VLMs—running models efficiently on next-generation edge platforms. Key Highlights: 1. State-of-the-art AI optimization and Visual Language Models (VLMs). 2. Development of neural network optimization and quantization tools. 3. Technical leadership in AI and Hardware. **Edge AI Model Optimization Software Engineer** **Job Description** * NXP is seeking a hands-on engineer to work on optimizing cutting-edge artificial intelligence—including generative AI, Transformers, Visual Language Models (VLMs), and agentic AI systems. * The role focuses on optimization technology engineering—specifically neural network quantization—to run models efficiently on next-generation edge platforms such as Ara 2\. **Key Responsibilities** * **Tool Development:** Design and implement optimization tools, including mixed-precision flows and scalable quantization pipelines (PTQ and QAT). * **Applied Innovation:** Evaluate novel quantization techniques and build tools to transition experiments into production environments. * **Technical Rigor:** Apply mathematical foundations to implement approximation algorithms, ensuring bit\-by\-bit accuracy on hardware. * **Performance and Leadership:** Optimize the toolchain to meet memory and compute constraints, serving as the technical liaison between AI and Hardware teams. **Required Profile** * **Education:** MSc or Ph.D. in Computer Science, Electrical Engineering, or Mathematics, with specialization in Machine Learning or Deep Learning. * **Technical Skills:** Proficiency in Python, C/C\+\+, PyTorch, and ONNX. * **Experience:** Knowledge of CNN architectures, generative AI, and quantization workflows. * **Preferences:** Experience with hardware accelerators, embedded systems, compilers (MLIR or TVM), and advanced techniques such as GPTQ or SmoothQuant. * **Language:** Fluency in English (written and spoken). **Benefits** * Work in an innovative and collaborative environment that fosters professional growth, offering competitive salary and benefits. Upload CV in English Salary: $60,612\.88 \- $77,413\.68 per month Benefits: * Company parking * Option for permanent employment contract * Medical expense insurance * Additional vacation days or paid leave Work Location: On-site employment

Source:  indeed View original post
Juan García
Indeed · HR

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