NXP

Software Engineer- Modelzoo

Hyderabad

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hirly's read of this role

Role family: Engineering
Seniority: Mid level
Country: IN
Work mode: On-site / unstated
First seen by hirly: 27 Sept 2026

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the posting

Software Engineer - Modelzoo

Company:** Kinara Inc. USA

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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.

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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.

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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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