R&D Manager AI Chip Design and Compute Architectures
Job Description & How to Apply Below
What you will do
- As part of our multidisciplinary team you will lead the research development and implementation of AI-driven solutions that advance semiconductor technologies and digital applications
- Plan and manage the AI skillset and resources across technology pillars
- Guide teams in achieving milestones for AI-driven projects
- Translate objectives into actionable research and development packages e g AI-assisted codesign digital twins reinforcement learning
- Build mentor and manage cross-functional teams of AI scientists engineers and developers
- Establish robust pipelines for data acquisition model training and deployment
- Collaborate with internal and external stakeholders to embed and leverage AI in semiconductor platforms and system architectures
- Foster cross-disciplinary innovation and ensure AI supports next-generation technologies
- Manage project budgets timelines and reporting
- Represent the organization externally through publications conferences and academic engagement
- Master s or PhD in Computer Science Electrical Electronic Engineering Applied Physics Microelectronics or a related STEM field
- 5 years of experience in applied research and or development of AI applications with leadership in areas such as reinforcement learning Bayesian optimization surrogate modeling or agentic AI
- Demonstrable experience working in and or leading effective multidisciplinary teams
- Hands-on approach contributing to the development of prototypes and proof-of-concept demonstrations
- Strong scientific programming skills with experience in code documentation and repository management
- Proven leadership and project management capabilities
- Excellent communication skills fluency in English required
- Familiarity or experience with R amp D of SoC architectures ASICs design or energy technologies is a plus
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