Software Engineer

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. Benefits: 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.

Location: Toulouse, FR

Posted Date: 6/29/2025