The role requires designing and delivering end-to-end AI solutions that solve real customer and business problems across cloud and edge environments
Job Summary
The role requires designing and delivering end-to-end AI solutions that solve real customer and business problems across cloud and edge environments.
Candidates must provide technical leadership to unblock engineering teams and ensure solution quality through rigorous architecture and code reviews.
The position involves architecting Generative AI solutions on FPGA platforms, including implementing RAG, agentic workflows, and evaluation frameworks.
Matching Summary
The role requires designing and delivering end-to-end AI solutions that solve real customer and business 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
15+ years AI/ML engineering experience
Python and C++ programming skills
FPGA design reference architectures
Generative AI RAG and agentic workflows
Cloud architecture AWS Azure GCP
Nice-to-have
PhD in Computer Science or related field
Experience with Deepseek Qwen GPT models
Customer-facing pre-sales technical deep-dives
Prototype to production-grade design conversion
Key Requirements
BS/MS in Computer Science or equivalent; PhD preferred
15+ years of experience in AI/ML engineering or solutions architecture