Research Engineer

Job Description Overview As a Research Engineer, you are expected to contribute to cutting-edge projects that advance both applied and theoretical aspects of AI. This role is ideal for individuals who are passionate about building practical systems from research ideas, thrive in a collaborative environment, and are committed to supporting impactful research through technical excellence. Our team operates in two main directions: * Applying AI to the design and optimization of semiconductors * Conducting fundamental research that supports both our applications and the broader sci-entific community Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Key Responsibilities * Implement and test research ideas in machine learning and artificial intelligence * Build prototypes and support experiments for team and company projects * Collaborate with researchers to translate theoretical models into practical systems * Maintain and improve research infrastructure, tools, and workflows * Assist in preparing technical documentation and reports * Stay up to date with the latest advancements in AI and related fields Qualifications \& Skill Required: * Experience implementing machine learning algorithms and techniques * Proficiency in programming languages such as Python, C++, or similar * Strong problem-solving skills and ability to work both independently and collaboratively * Good communication skills, with the ability to document and explain technical work clearly Preferred: * Experience with optimization, reinforcement learning, and/or large language models (LLMs) * Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) * Experience building and maintaining research infrastructure or tools * Exposure to chip design or applied AI research Main Requirements and Qualifications * Competitive Package Available * Closing Date - 26th Sept-2026