System Programmer

Company Description

Daice Labs, founded by MIT CSAIL scientists, specializes in developing innovative hybrid AI systems that integrate large language models (LLMs), deep learning (DL), symbolic reasoning, and bio-inspired designs. With the goal of overcoming the limitations of current AI systems, Daice Labs builds adaptive frameworks capable of continuous learning, generalization, and decision-making. The organization operates through two primary focus areas : a Product Lab, creating platforms for human teams-AI collaboration on complex projects, and an AI Research Lab, exploring natural intelligence principles to design effective and adaptable AI.

Role Description

This is a full-time, remote opportunity for a System Programmer to contribute to the design, implementation, and maintenance of advanced system-level software solutions. The System Programmer will focus on developing and optimizing system architectures, enabling hybrid AI frameworks, and ensuring robust and adaptive systems. Daily responsibilities include writing and debugging system code, enhancing platform stability, providing technical support, and troubleshooting issues across operating systems. Collaboration with interdisciplinary teams and researchers will also be a key aspect of the role.

Qualifications

• Proficiency in Systems Programming and Programming, with experience in building and optimizing system-level software.
• Strong knowledge of Operating Systems and their inner workings, with the ability to design and support complex infrastructures.
• Experience in Troubleshooting and providing Technical Support to ensure efficient system performance and resolution of technical issues.
• Strong problem-solving skills with the ability to develop innovative solutions for system optimization and adaptability.
• Proficient in modern programming languages and comfortable working in interdisciplinary, collaborative environments.
• A degree in Computer Science, Software Engineering, or a related field. Advanced knowledge in AI or hybrid systems is an advantage.
• Passion for exploring biologically inspired and system-level paradigms in software architecture is a plus.