Job Title: AI Software Engineer

Company: NXP Semiconductors México, S. de R.L. de C.V.

NXP offers an inclusive, collaborative, and innovation-driven work culture where engineers have the freedom to explore ideas, contribute to cutting-edge technologies, and grow their technical depth.

Job Summary

As part of ongoing enhancements to our Discrete NPU Model Zoo , we are looking for AI Engineers to contribute to the design, development, and optimization of model‑zoo infrastructure supporting next‑generation computer vision , generative AI , and LLM workloads .
You will work on developing compilation, inference, and performance workflows for AI accelerators, while helping build end‑to‑end demos and benchmarking pipelines.

Job Qualifications

• Bachelor’s degree in Electronics/Computer/Systems/Robotics Engineering or similar with 3+ years of experience in Machine Learning or related fields.
• Strong proficiency in Python (AI scripting & workload automation) and C/C++ (low‑level performance work).
• Solid understanding of deep learning architectures across CV, NLP, or generative models.
• Experience building demos/applications using CNN and LLM models.
• Ability to measure and report latency, throughput, accuracy, and power for AI workloads.
• Familiarity with LLM benchmarking frameworks such as MMLU, HumanEval, GSM8K, ARC Challenge, GPQA , etc.
• Experience working with Hugging Face APIs , model repositories, and deployment workflows.
• Knowledge of Linux environments , build systems, and optionally, driver‑level basics.
• Experience with GitHub , CI/CD pipelines, and automated testing frameworks.
• Fluency in English (written and spoken) is required.

Preferred Qualifications

• Experience with NPU architectures , compiler toolchains, and runtime environments.
• Exposure to a variety of AI/ML/DL frameworks such as TensorFlow, PyTorch, Caffe , and ONNX pipelines.
• Strong skills in developing AI workflows in both C++ and Python .
• Experience in hardware/software performance evaluation and profiling.
• Ability to work effectively both independently and in collaborative team settings .
• Strong aptitude for learning new tools, technologies, and AI workflows quickly.

What You Will Gain

• Hands‑on experience with AI accelerator hardware , NXP SDKs , and next‑generation AI solutions.
• Opportunity to work with a wide range of customer models across CV, LLM, VLM , and Generative AI domains.
• Deep exposure to end‑to‑end AI pipelines, benchmarking methodologies, and model‑zoo development.
• Learning environment focused on innovation, performance optimization, and practical deployment of AI workloads.

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