ppJob Title: Senior AI Software EngineerCompany: NXP Semiconductors México, S. de R.L. de C.V. /ppNXP 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. /ppJob SummaryAs 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. /ph3CNN Model Zoo Responsibilities /h3ulliCollaborate on scaling up our CNN‑based model zoo. /liliAdd new models and their variants in both Python and C++. /liliImprove accuracy across ~50 existing models. /liliRe‑implement variant models in PyTorch for integration with the MCW tool. /liliUse the MCW tool for optimization, pruning, and performance tuning. /liliAutomate model testing, validation, and optimization flows where feasible. /liliDevelop gstreamer / NXP nnstreamer plugins and end‑to‑end inference pipelines. /liliBuild high‑quality demos showcasing model capabilities on NPU accelerators. /li /ulh3LLM/VLM Model Zoo Responsibilities /h3ulliContribute to the development and expansion of the LLM model zoo. /liliUse Hugging Face APIs to build required pipelines and workflows (Python and C++). /liliIntegrate and support multiple variants of LLMs and VLMs. /liliDevelop automated testing frameworks and Jenkins‑based CI pipelines. /liliExecute benchmarking, performance profiling, and validation of LLM/VLM models. /liliBuild demos demonstrating large‑model capabilities on our NPU platforms.



/li /ulh3Job Qualifications /h3ulliBachelor's degree in Electronics/Computer/Systems/Robotics Engineering or similar with 5+ years of experience in Machine Learning or related fields. /liliStrong proficiency in Python (AI scripting workload automation) and C/C++ (low‑level performance work). /liliSolid understanding of deep learning architectures across CV, NLP, or generative models. /liliExperience building demos/applications using CNN and LLM models. /liliAbility to measure and report latency, throughput, accuracy, and power for AI workloads. /liliFamiliarity with LLM benchmarking frameworks such as MMLU, HumanEval, GSM8K, ARC Challenge, GPQA, etc. /liliExperience working with Hugging Face APIs, model repositories, and deployment workflows. /liliKnowledge of Linux environments, build systems, and optionally, driver‑level basics. /liliExperience with GitHub, CI/CD pipelines, and automated testing frameworks. /liliFluency in English (written and spoken) is required. /li /ulh3Preferred Qualifications /h3ulliExperience with NPU architectures, compiler toolchains, and runtime environments. /liliExposure to a variety of AI/ML/DL frameworks such as TensorFlow, PyTorch, Caffe, and ONNX pipelines. /liliStrong skills in developing AI workflows in both C++ and Python. /liliExperience in hardware/software performance evaluation and profiling. /liliAbility to work effectively both independently and in collaborative team settings. /liliStrong aptitude for learning new tools, technologies, and AI workflows quickly. /li /ulh3What You Will Gain /h3ulliHands‑on experience with AI accelerator hardware, NXP SDKs, and next‑generation AI solutions. /liliOpportunity to work with a wide range of customer models across CV, LLM, VLM, and Generative AI domains. /liliDeep exposure to end‑to‑end AI pipelines, benchmarking methodologies, and model‑zoo development. /liliLearning environment focused on innovation, performance optimization, and practical deployment of AI workloads. /li /ulp#LI-FCC3More information about NXP in Mexico...#LI-fcc3 /p /p #J-18808-Ljbffr

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