Scientist Jobs

About The Position

Requirements

• PhD in Computer Science, Electrical/Computer Engineering, or a related field, or equivalent experience.
• At least 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 products.
• Deep knowledge of EDA/VLSI, such as synthesis, formal verification, timing, reliability, or physical design algorithms.
• At least 5 years applying AI techniques, including supervised learning, unsupervised learning, or reinforcement learning, and GPU/accelerator-based computing to large-scale problems.
• At least 5 years of software development experience.
• Strong expertise in high-performance computing, parallelism, optimization, and large-scale software engineering.
• Experience leading research projects or teams, mentoring junior scientists, driving cross-functional initiatives with circuits, VLSI, or architecture groups, and fostering academic or industry collaborations.
• Excellent written and verbal communication skills, including demonstrated experience presenting at top conferences.
• Track record of releasing high-impact open-source tools, datasets, or frameworks.
• Ability to influence technical and non-technical audiences.

Responsibilities

• Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.
• Innovate in EDA software and algorithms, including applications of supervised, unsupervised, and reinforcement learning and GPU-accelerated optimization methods.
• Collaborate with circuit design, VLSI, and architecture teams to translate research into product impact.
• Publish research in premier conferences, present at leading venues, and drive thought leadership.
• Foster collaboration with external researchers and internal product teams.

Benefits

• Equity
• Benefits