Senior AI Optimization Research Engineer
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Job Location:
Guadalajara - Mexico
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
We at NXP have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do where every point of view is valued. Join us!
Job Summary
We are searching for a highly skilled AI Research Engineer/Scientist with a deep theoretical background and strong systems engineering skills to contribute to our Edge AI Optimization program NXPs initiative towards enabling highly efficient Generative and Agentic AI systems on resource-constrained edge devices.
You will work at the forefront of innovation bridging the gap between research and practice focusing on CNNs Large Language Model (LLM) and Vision Language Model (VLM) quantization bringing advanced GenAI and agentic capabilities to NXP NPUs such as Ara-2 directly supporting the future of on-device multimodal intelligence.
If you want to shape the future of efficient on-device GenAI and Agentic AI this is the place to be.
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Job Responsibilities
1. Research: Actively survey the latest research (NeurIPS ICLR CVPR) on neural network quantization. Also complementing this with other compression techniques.
2. Prototyping: Develop novel ideas and adapt state-of-the-art methods to meet NXPs specific hardware constraints and performance targets.
3. Production Implementation: Translate research prototypes into robust optimized production code (C/Python) ensuring strict memory and compute efficiency standards.
4. Systems Integration: Document algorithmic tradeoffs derive deployment recipes and mentor the engineering team on numerical methods and optimization.
5. IP Generation: Contribute to NXPs intellectual property portfolio through patents and technical publications.
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Job Qualifications
Required Background
Education: MSc or Ph.D. in Computer Science Electrical Engineering or Mathematics with a specialization in Machine Learning or Deep Learning.
AI Expertise: Proven experience in AI/ML with a deep understanding of CNN architectures and Generative AI (Transformers).
Technical Stack: Strong hands-on experience with PyTorch TensorFlow ONNX and model conversion/optimization pipelines.
Systems Coding: Proficient in Python and C/C with an understanding of how code interacts with underlying hardware.
Embedded Mindset: Familiarity with the constraints of embedded systems (latency power memory bandwidth).
Preferred
Hardware Acceleration: Experience with NPUs device-level profiling and diagnosing memory bottlenecks.
Tooling: Familiarity with MLOps (MLFlow ClearML) and Yocto Project.
Advanced AI: Experience with custom kernel development is a plus.
Compilers: Knowledge of MLIR or TVM is a significant plus.
#LI-FCC3
Required Experience:
Senior IC
Key Skills
- Arm
- Machine Learning
- Raspberry Pi
- Python
- C/C++
- Image Processing
- 5G
- OS Kernels
- Research Experience
- Firewall
- Research & Development
- Computer Vision
About Company
NXP is a global semiconductor company creating solutions that enable secure connections for a smarter world.
