Senior Research Scientist, EDA and AI

Responsibilities

• Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.
• Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, and reinforcement learning, as well as GPU-accelerated optimization methods.
• Collaborate cross-functionally with circuit design, VLSI, and architecture teams, ensuring research translates into real-world product impact.
• Engage with the global research community by publishing in premier conferences, presenting at leading venues, and driving thought leadership.
• Foster collaboration with external researchers and diverse internal product teams to amplify research outcomes.
• What we need to see
• Research Excellence: PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience), with 2+ years of post-PhD research experience and a strong record of impactful publications in top EDA and AI/ML venues; proven ability to set research direction and translate ideas into tools or…
• Domain & Technical Expertise: Deep knowledge in EDA/VLSI (e.g., synthesis, formal verification, timing, reliability, or physical design algorithms) combined with 5+ years applying AI techniques (supervised, unsupervised, RL) and GPU/accelerator-based computing to large-scale problems.
• Programming & Systems

Languages