Soc Architect

OpenAI OpenAI · AI Frontier · San Francisco, CA · Scaling

Seeking an experienced SoC Architect to define and develop next-generation custom AI silicon for edge deployments, focusing on efficient, high-performance SoCs for ML inference. The role involves cross-functional collaboration with internal teams and external partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery.

What you'd actually do

  1. Define the architecture and technical roadmap for custom SoCs targeted for edge applications.
  2. Drive system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints.
  3. Architect energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments.
  4. Collaborate with internal hardware, software, systems, and product teams to align architecture with platform needs.
  5. Partner with external silicon vendors, IP providers, and manufacturing partners to execute development plans.

Skills

Required

  • SoC architecture
  • ASIC architecture
  • AI/ML accelerators
  • edge inference workloads
  • energy-efficient compute design
  • SoC subsystems (CPU/GPU/NPU, memory, interconnects, power management)
  • hardware/software co-design
  • system-level tradeoff analysis
  • cross-functional team leadership
  • external partner collaboration

Nice to have

  • edge AI devices
  • embedded systems
  • consumer hardware platforms
  • performance modeling
  • silicon cost optimization
  • workload-driven architecture
  • advanced process nodes
  • modern semiconductor development flows

What the JD emphasized

  • Proven experience defining and delivering complex SoC or ASIC architectures from concept to production.
  • Deep understanding of AI/ML accelerators, edge inference workloads, and energy-efficient compute design.
  • Strong knowledge of SoC subsystems including CPU/GPU/NPU architectures, memory hierarchies, interconnects, and power management.
  • Experience working with both internal engineering organizations and external strategic partners.
  • Ability to lead cross-functional teams in fast-paced, execution-driven environments.

Other signals

  • custom AI silicon
  • edge deployments
  • ML inference
  • hardware optimization
  • SoC architecture