Senior Software Engineer Modelzoo

Responsibilities

• Port and deploy deep learning models from frameworks like PyTorch and TensorFlow to proprietary or commercial ML accelerator hardware platforms
• Analyze and improve the performance of ML models for target hardware, focusing on latency and throughput
• Contribute to model quantization efforts (e.g., INT8) to reduce model size and accelerate inference while maintaining accuracy
• Use profiling tools to identify and fix performance bottlenecks in the ML inference pipeline on the accelerator

Requirements

• Proficiency in deep learning frameworks such as PyTorch and TensorFlow
• Hands-on experience deploying and optimizing models on GPUs or other specialized accelerators
• Experience with model quantization, specifically Post-Training Quantization
• Strong proficiency in C++ and Python
• Experience with Git and collaborative development workflows
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field

Preferred Qualifications

• Experience with GPU programming models like CUDA/cuDNN
• Familiarity with ML inference engines and runtimes such as TensorRT, OpenVINO, or TensorFlow Lite
• Knowledge of hardware-aware model design and compiler technologies for deep learning
• Experience with real-time or embedded systems
• Knowledge of cloud platforms (AWS, GCP, Azure) and CI/CD pipelines for ML models

About the Company

NXP Semiconductors enables a smarter, safer, and more sustainable world through innovation. As a world leader in secure connectivity solutions for embedded applications, NXP pushes boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets.