Software Engineer

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Brainchip is a leading technology company specializing in the design of electronics IP that accelerates AI on the edge.
Our innovative solutions enable ultra-efficient and high-performance neural network processing for artificial intelligence applications.
As part of our continuous growth, we are seeking a skilled Software Engineer with expertise in machine learning frameworks to join our team.

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms for our products.
• Implement and optimize machine learning frameworks such as Tensorflow/Keras, PyTorch, and ONNX.
• Develop software tools and infrastructure to support machine learning workflows, data preprocessing, model training, and evaluation.
• Stay up-to-date with the latest advancements in machine learning and apply relevant techniques to enhance our products.
• Conduct code reviews, provide constructive feedback, and maintain code quality and documentation.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong proficiency in machine learning frameworks such as Tensorflow/Keras, PyTorch, and ONNX.
• Demonstrated experience in developing and deploying machine learning models and algorithms.
• Solid understanding of deep learning concepts, neural networks, and related architectures.
• Proficiency in programming languages such as Python, or C++.
• Experience with data preprocessing, feature engineering, and data visualization techniques.
• Knowledge of software engineering best practices, including version control, testing, and code documentation.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication skills and ability to effectively articulate technical concepts to both technical and non-technical team members.

Preferred Qualifications:

• Understanding of computer vision or natural language processing (NLP) concepts and applications.
• Experience with deployment and optimization of machine learning models on edge devices.
• Active participation in the machine learning community, such as publications or open-source contributions.
• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and career advancement.
• Collaborative and inclusive work environment.
• Flexible work hours with the possibility to work remotely three days a week.
• Access to cutting-edge technology and resources.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• IndustriesComputer Hardware Manufacturing

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