Principal Researcher

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 scientific community

Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.

Key Responsibilities

• Shape and communicate the strategic vision for research across the organization
• Oversee multiple high-impact research projects and ensure alignment with organizational goals
• Drive breakthroughs in machine learning and artificial intelligence through innovative re-search
• Mentor and provide leadership to senior researchers and research teams
• Represent the team in external partnerships, collaborations, and policy discussions
• Influence organizational research priorities and contribute to policy development
• Build and maintain relationships with key stakeholders, including academic, industry, and funding partners
• Publish and present research findings at top-tier conferences, journals, and industry fo-rums
• Stay at the forefront of advancements in AI and related fields, identifying new opportuni-ties for impact

Qualifications & Expectations

Required:

• PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field; or equivalent research experience
• Distinguished publication record in top conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
• Demonstrated ability to shape research strategy and oversee multiple projects
• Proven track record of driving breakthroughs and influencing research priorities
• Advanced proficiency in programming languages such as Python, C++, or similar
• Exceptional leadership, mentorship, and communication skills
• Experience representing research teams in external partnerships and policy forums

Preferred:

• Deep expertise in optimization, reinforcement learning, and/or large language models (LLMs)
• Experience in chip design and applied AI research
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
• Experience influencing organizational policy and securing major research funding