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.
CNN Model Zoo Responsibilities
Collaborate on scaling up our CNN
‐
based model zoo.
Add new models and their variants in both Python and C++.
Improve accuracy across ~50 existing models.
Re
‐
implement 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 end
‐
to
‐
end inference pipelines.
Build high
‐
quality 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 Jenkins
‐
based CI pipelines.
Execute benchmarking, performance profiling, and validation of LLM/VLM models.
Build demos demonstrating large
‐
model capabilities on our NPU platforms.
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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📌 Ai Software Engineer (Guadalajara)
🏢 Nxp Semiconductors
📍 Guadalajara