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Job Summary

We are seeking a highly skilled Edge AI Engineer/Scientist with a solid theoretical foundation in AI and solid software engineering expertise to contribute to our Edge AI Model Optimization program. While the primary focus of this role is on model quantization, the scope also includes complementary optimization strategies such as speculative decoding, pruning, and other methods for ensuring highly efficient on-device deployment.

You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) optimization to bring advanced capabilities to NXP’s Ara2 family of NPUs, directly supporting the future of on‑device intelligence.





If you want to the future of efficient on‑device AI, this is the place to be.

Job Responsibilities

Research: Actively survey the latest research (NeurIPS, ICLR, CVPR) on model optimization/compression, focusing particularly on neural network quantization, but also including other techniques like speculative decoding, pruning, etc.
Prototyping: Develop and adapt state-of-the-art methods to NXP’s hardware constraints, building POCs to showcase the effectiveness of these techniques on NXP HW.
Production Implementation: Translate research prototypes into robust, optimized production code (C++/Python), ensuring strict memory and compute efficiency standards.
Systems Integration: Document algorithmic tradeoffs, derive deployment recipes, and mentor the engineering team on numerical methods and optimization.
Cross-Functional Leadership: Act as the technical bridge between AI Research, Hardware Engineering and other teams, providing quantifi

📌 Senior Quantization Engineer (Hyderabad)
🏢 NXP Semiconductors
📍 Hyderabad