This role involves designing scalable AI architectures that solve real customer problems across cloud and edge environments
Job Summary
This role involves designing scalable AI architectures that solve real customer problems across cloud and edge environments.
The candidate will provide technical leadership by reviewing designs, unblocking engineering teams, and ensuring solution quality through rigorous code reviews.
Responsibilities include architecting Generative AI solutions like RAG and agentic workflows specifically optimized for FPGA platforms.
Matching Summary
This role involves designing scalable AI architectures that solve real customer problems across cloud and edge environments.
Salary
Base: $209.5K - $303.2K USD (Bay Area); Bonus/Equity: Incentive opportunities based on performance; Benefits: Not specified
Skills & Requirements
Must-have
End-to-end AI/ML solution architecture
FPGA model optimization and implementation
Generative AI RAG and agentic workflows
Python and C++ programming proficiency
Cloud architecture experience AWS Azure GCP
Nice-to-have
PhD in Computer Science or related field
Experience with Deepseek Qwen GPT models
Pre-sales technical deep-dive capabilities
Cross-functional leadership and mentoring
Prototype to production transition expertise
Key Requirements
15+ years of experience in AI/ML engineering or solutions architecture
BS/MS in Computer Science, Engineering, or Data Science; PhD preferred
Eligibility for required U.S. export authorizations
Work Rights
Must be eligible for required U.S. export authorizations