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About the role
Key responsibilities & impact- Spearhead the design, deployment, and optimization of autonomous multi-agent AI architectures
- Revolutionize IP block development and support workflows across complex semiconductor design phases
- Leverage state-of-the-art LLM orchestration and Model Context Protocol (MCP) integrations
- Drive efficiency, quality, and automation in hardware engineering environments
- Apply enterprise-grade verification frameworks to semiconductor engineering workflows
Requirements
What you’ll need- 10+ years of progressive, relevant experience in software architecture, AI systems engineering, or semiconductor automation design
- Master’s degree or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related technical field
- Experience with LLM orchestration
- Experience with Model Context Protocol (MCP) integrations
- Experience with enterprise-grade verification frameworks
- Experience in hardware engineering environments and semiconductor design workflows
Benefits
Comp & perks- Discretionary annual bonus
- Competitive new hire equity grant
- Annual equity awards
- Medical, dental and vision plans
- 401(K) participation including company matching
- Employee Stock Purchase Program (ESPP)
- Employee Assistance Program (EAP)
- Company paid holidays
- Paid sick leave
- Vacation time
- Paid Family Leave and other leaves of absence in accordance with applicable laws
