NXP Semiconductors
Website:
nxp.com
Company:
https://www.linkedin.com/company/nxp-semiconductors
Industries: Semiconductor Manufacturing, Computers and Electronics Manufacturing, and Software Development
Job details:
Software Engineer - Modelzoo
Company:** Kinara Inc. USA
Job Summary
We are seeking a talented and innovative Software Engineer to join our Modelzoo team. In this role, you will be instrumental in the development, optimization, and deployment of machine learning models for Kinara's cutting-edge AI inference solutions. Your work will directly impact the performance and capabilities of our hardware and software products.
Job Responsibilities
- Design, implement, and optimize machine learning models for various applications, focusing on efficiency and performance on Kinara's AI processors.
- Develop and maintain the Modelzoo framework, including tools for model conversion, quantization, and deployment.
- Collaborate with hardware and software teams to ensure seamless integration of models and achieve optimal end-to-end system performance.
- Conduct performance profiling and analysis of models, identifying bottlenecks and implementing solutions for improvement.
- Research and evaluate new machine learning algorithms and techniques to enhance model accuracy and efficiency.
- Create and maintain comprehensive documentation for models, tools, and processes within the Modelzoo.
- Participate in code reviews and contribute to the overall quality and maintainability of the codebase.
- Stay up-to-date with the latest advancements in machine learning, deep learning, and AI hardware.
Job Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 2+ years of experience in software development, with a strong focus on machine learning or deep learning.
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
- Solid understanding of machine learning concepts, including model architectures (e.g., CNNs, Transformers), training methodologies, and evaluation metrics.
- Experience with model optimization techniques such as quantization, pruning, and knowledge distillation.
- Familiarity with embedded systems or AI accelerator architectures is a plus.
- Strong problem-solving skills and the ability to debug complex issues.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with version control systems (e.g., Git).
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