Chief SoC Architect for Edge AI & GenAI Platforms

SiMa.ai, Inc.; San Jose (CA); On-site; USD 231,000 - 358,000; Full time

Job summary

SiMa.ai, Inc. in San Jose, CA is seeking a Sr. Principal SoC Architect to lead end-to-end architecture for MLSoCs. The role partners with silicon and software teams to optimize performance and power across new workloads, including GenAI, robotics, and real-time AI systems.

Ideal candidates have 20+ years of hardware-focused product experience, deep ML/DL expertise, and a proven track record delivering complex silicon products. This is a full-time, on-site role based in San Jose.

Qualifications

• PhD or MS in electrical engineering or computer science with 20+ years of experience focusing on performance and power.
• At least three years of architecting and tape-out experience on ML engineering products (complex SoCs) from concept to production.
• Significant contributor to successful silicon product delivery (industry-leading SoCs and advanced nodes).
• Experience collaborating with silicon and software teams to productize architectural concepts.
• Experience evangelizing and presenting to customers and leadership teams.
• Strong mathematical foundation in machine learning and deep learning.
• Co-authored internal technical presentations, papers, and disclosures/patents on SoC topics.

Responsibilities

• Drive end-to-end SoC architecture in collaboration with Silicon and Software Engineering.
• Define workload requirements and system partitioning for next-generation MLSoC platforms.
• Develop HW/SW co-design strategies at system scale with cross-functional teams.
• Own performance architecture and roadmap with data-driven workload analysis.
• Collaborate with Software Engineering to define software architecture requirements.

Education

PhD or MS in electrical engineering or computer science

20+ years of experience in hardware-focused product/platform development

Job description

SiMa.ai, Inc. in San Jose, CA is seeking a Sr. Principal SoC Architect to lead end-to-end architecture for MLSoCs. The role partners with silicon and software teams to optimize performance and power across new workloads, including GenAI, robotics, and real-time AI systems.

Ideal candidates have 20+ years of hardware-focused product experience, deep ML/DL expertise, and a proven track record delivering complex silicon products. This is a full-time, on-site role based in San Jose.