Senior SoC Architect: Edge AI & High-Performance Silicon

MemryX Inc.; Ann Arbor (MI); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health benefits

401(k) matching

Equity incentives

Life insurance

Unlimited PTO

Parental leave

Tuition reimbursement

Professional development

Career advancement

Job summary

MemryX Inc. is seeking a Senior SoC Architect to drive system-level architecture for next-gen AI accelerators in edge computing. You’ll bridge software requirements with hardware implementation, translating workloads into scalable architectures and guiding decisions through silicon bring-up.

Ideal candidates have extensive ASIC/SoC experience, a strong background in AI architectures, and proven leadership in cross-functional teams within a startup-like environment.

Qualifications

• BS or MS in Electrical/Computer Engineering or related field.
• 15+ years of ASIC/SoC design experience.
• 3+ years in a lead architectural role.
• Proven track record architecting and taping out complex SoCs.
• Deep knowledge of AI architectures.

Responsibilities

• Define the overall SoC architecture including memory hierarchy, IP selection, interconnects, coherency, I/O, security, and power management.
• Own SoC architecture specs and roadmaps; author and maintain architectural documents.
• Evaluate tradeoffs in performance, power, area, cost, and schedule for edge workloads.
• Develop performance models to guide decisions across hardware and software.
• Collaborate with RTL, verification, firmware, compiler, and app teams across the lifecycle.

Skills

SoC architecture

ASIC/SoC design

Leadership

AI architectures

Performance modeling

C++/SystemC

Cross-functional

HW/SW co-design

Education

BS in Electrical Engineering

MS in Electrical Engineering

Tools

SystemC

C++

Job description

MemryX Inc. is seeking a Senior SoC Architect to drive system-level architecture for next-gen AI accelerators in edge computing. You’ll bridge software requirements with hardware implementation, translating workloads into scalable architectures and guiding decisions through silicon bring-up.

Ideal candidates have extensive ASIC/SoC experience, a strong background in AI architectures, and proven leadership in cross-functional teams within a startup-like environment.