AI Software Engineer

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.

• 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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