Senior AI Software Engineer

Guadalajara - Mexico

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Senior 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 modelzoo infrastructure supporting nextgeneration computer vision generative AI and LLM workloads.
You will work on developing compilation inference and performance workflows for AI accelerators while helping build endtoend demos and benchmarking pipelines.

CNN Model Zoo Responsibilities

Collaborate on scaling up our CNNbased model zoo.
Add new models and their variants in both Python and C.
Improve accuracy across 50 existing models.
Reimplement variant models in PyTorch for integration with the MCW tool.
Use the MCW tool for optimization pruning and performance tuning.
Automate model testing validation and optimization flows where feasible.
Develop gstreamer / NXP nnstreamer plugins and endtoend inference pipelines.
Build highquality demos showcasing model capabilities on NPU accelerators.

LLM/VLM Model Zoo Responsibilities

Contribute to the development and expansion of the LLM model zoo.
Use Hugging Face APIs to build required pipelines and workflows (Python and C).
Integrate and support multiple variants of LLMs and VLMs.
Develop automated testing frameworks and Jenkinsbased CI pipelines.
Execute benchmarking performance profiling and validation of LLM/VLM models.
Build demos demonstrating largemodel capabilities on our NPU platforms.

Job Qualifications

Bachelors degree in Electronics/Computer/Systems/Robotics Engineering or similar with 5 years of experience in Machine Learning or related fields.
Strong proficiency in Python (AI scripting & workload automation) and C/C (lowlevel 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 driverlevel 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

Handson experience with AI accelerator hardware NXP SDKs and nextgeneration AI solutions.
Opportunity to work with a wide range of customer models across CV LLM VLM and Generative AI domains.
Deep exposure to endtoend AI pipelines benchmarking methodologies and modelzoo development.
Learning environment focused on innovation performance optimization and practical deployment of AI workloads.

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Job Title: Senior AI Software EngineerCompany: 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 SummaryAs p...

CNN Model Zoo Responsibilities

Collaborate on scaling up our CNNbased model zoo.
Add new models and their variants in both Python and C.
Improve accuracy across 50 existing models.
Reimplement variant models in PyTorch for integration with the MCW tool.
Use the MCW tool for optimization pruning and performance tuning.
Automate model testing validation and optimization flows where feasible.
Develop gstreamer / NXP nnstreamer plugins and endtoend inference pipelines.
Build highquality demos showcasing model capabilities on NPU accelerators.

LLM/VLM Model Zoo Responsibilities

Contribute to the development and expansion of the LLM model zoo.
Use Hugging Face APIs to build required pipelines and workflows (Python and C).
Integrate and support multiple variants of LLMs and VLMs.
Develop automated testing frameworks and Jenkinsbased CI pipelines.
Execute benchmarking performance profiling and validation of LLM/VLM models.
Build demos demonstrating largemodel capabilities on our NPU platforms.

Job Qualifications

Bachelors degree in Electronics/Computer/Systems/Robotics Engineering or similar with 5 years of experience in Machine Learning or related fields.
Strong proficiency in Python (AI scripting & workload automation) and C/C (lowlevel 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 driverlevel 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

Handson experience with AI accelerator hardware NXP SDKs and nextgeneration AI solutions.
Opportunity to work with a wide range of customer models across CV LLM VLM and Generative AI domains.
Deep exposure to endtoend AI pipelines benchmarking methodologies and modelzoo development.
Learning environment focused on innovation performance optimization and practical deployment of AI workloads.