Lead SoC Architect for AI & GPU Compute

Bolt Graphics, Inc.

Sunnyvale (CA)

On-site

USD 200,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, & Vision - 100% covered premiums
Equity - Stock Options
401(k) match

Job summary

Bolt Graphics, Inc. is seeking a Lead SoC Architect to define the technical direction for next-generation semiconductor products in Sunnyvale, CA. The ideal candidate will possess 10+ years of experience in SoC architecture and a strong understanding of subsystem integration.

This role focuses on defining scalable architectures for advanced compute platforms, including AI and GPU systems. Applicants should be local to the Bay Area and eager to lead while being an individual contributor.

Qualifications

  • 10+ years of experience in SoC architecture, ASIC development, or complex semiconductor system design.
  • Strong understanding of modern SoC architectures and subsystem integration.
  • Excellent problem-solving, communication, and leadership skills.

Responsibilities

  • Define top-level SoC architecture and subsystem partitioning for complex semiconductor products.
  • Drive architecture tradeoff analysis for performance, power, area, bandwidth, latency, and scalability.
  • Lead performance modeling, workload analysis, and bottleneck identification.

Skills

C/C++/SystemC modeling
Performance analysis and simulation
RTL and microarchitecture understanding
AMBA/AXI/CHI protocols
Memory subsystem architecture
HW/SW co-design
Silicon bring-up and debugging

Education

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field

Job description

Bolt Graphics, Inc. is seeking a Lead SoC Architect to define the technical direction for next-generation semiconductor products in Sunnyvale, CA. The ideal candidate will possess 10+ years of experience in SoC architecture and a strong understanding of subsystem integration.

This role focuses on defining scalable architectures for advanced compute platforms, including AI and GPU systems. Applicants should be local to the Bay Area and eager to lead while being an individual contributor.

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