Define architecture and roadmap for edge SoCs.
Drive system-level tradeoffs across compute, memory, interconnect, power, thermal, cost.
Architect energy-efficient ML compute subsystems for inference.
Collaborate with internal teams to align architecture with platform needs.
Partner with external silicon vendors, IP providers, and manufacturers.
Lead hardware/software co-design for end-to-end efficiency.

🎯 Requirements

Proven experience delivering complex SoC/ASIC architectures.
Deep understanding of AI/ML accelerators and edge inference workloads.
Strong knowledge of CPU/GPU/NPU, memory hierarchies, interconnects, and power management.
Experience working with internal teams and external partners.
Ability to lead cross-functional teams in fast-paced environments.
Strong communication skills to influence technical direction.

🎁 Benefits

Equal opportunity employer.
Commitment to accessibility and accommodations.
OpenAI privacy and EEOC policy statements.

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