Take your career to the next level as a Scientist specializing in AI and Chip Engineering, based in the Bay Area or Toronto. Collaborate within a vibrant team that prides itself on innovative work.
In this role, you'll be at the interface of AI/ML and hardware, focusing on creating efficiencies for chip design workflows. You will take initiative to build data systems and train sophisticated ML models while leading projects that deliver significant results. Your contributions will be key in driving collaboration and enhancing the quality of work produced by the team.
Key Responsibilities:
• Build synthetic datasets to support chip design tasks
• Train and refine machine learning models for deployment
• Create and implement evaluation methodologies




• Integrate machine learning within hardware design processes
• Collaborate with diverse engineering teams on pivotal projects
Requirements:
• Familiarity with deep learning and data generation
• Basic knowledge of circuit design including SystemVerilog
• Expertise in reinforcement learning or formal verification
• Demonstrated success in high-performing environments
• Experience leading projects with substantial impact
Contribute your expertise to a team-oriented team and drive innovation in chip design through artificial intelligence.
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📌 Scientist in AI & Chip Engineering (Toronto)
🏢 Cognichip
📍 Toronto