SOC Architect
OpenAI
- Pay
- $266k–$445k
- Workplace
- On-site
- Location
- San Francisco · California · United States
- First seen
- 10 days ago
- Last seen
- 4 hours ago
- Board
- Ashby
Summary
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads.
Posting
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking an experienced SoC Architect to lead the definition and development of next-generation custom AI silicon for edge deployments. This role will be responsible for shaping the architecture of highly efficient, high-performance SoCs optimized for machine learning inference and on-device intelligence. You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery. In this role you will: - Define the architecture and technical roadmap for custom SoCs targeted for edge applications. - Drive system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints. - Architect energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments. - Collaborate with internal hardware, software, systems, and product teams to align architecture with platform needs. - Partner with external silicon vendors, IP providers, and manufacturing partners to execute development plans. - Lead hardware/software co-design efforts to maximize performance per watt and end-to-end system efficiency. - Guide implementation teams through microarchitecture, RTL development, validation, and bring-up phases. - Operate effectively in agile development environments and help teams deliver against aggressive schedules and milestones. You might thrive in this role if: - 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 cro