Chief Technology Officer

RoleOverview

- Co-define and industrialize a non-GPU-path AI compute architecture based onstructure-driven dataflow

- Translate architectural concepts into manufacturable silicon across realisticprocess nodes (28nm-5nm)

- Own end-to-end system realization: chip → package → board → cluster-scaleinfrastructure

- Lead development of scalable compute platform for large-model workloads

- Build and lead multidisciplinary engineering organization

Core Responsibilities

1) Architecture & System Definition

- Co-develop compute paradigm with founder

- Define system-level architecture across chip, interconnect, and clusterscaling

- Design dataflow embedded in structure rather than instruction scheduling

- Ensure feasibility across power, memory, and interconnect constraints

2) Silicon Development & Engineering Execution

- Lead full chip lifecycle (architecture → RTL → tape-out)

- Ensure manufacturability across nodes (28nm-5nm)

- Drive chip-package-system co-design

3) Packaging, Interconnect & System Integration

- Define advanced packaging strategies (chiplet, RDL, fan-out)

- Optimize interconnect topology, bandwidth, and latency

- Lead system integration and bring-up

4) Foundry, OSAT & Supply Chain Strategy

- Manage foundry and OSAT relationships

- Lead PDK, IP integration, DFM, yield optimization

- Build scalable supply chain

5) Software Stack & Structure-Aware Execution

- Build structure-aware compiler and runtime

- Develop mapping system from computation graph to hardware structure

- Enable efficient execution of large models

6) Infrastructure Scaling & Performance Optimization

- Define scaling from chip to cluster

- Optimize throughput, latency, energy efficiency, and cost

7) Organization & Leadership

- Build and lead teams across silicon, system, and software

- Establish engineering processes and execution discipline

8) Productization & Ecosystem

- Lead validation, bring-up, and deployment

- Align with roadmap and commercialization

- Support strategic partnerships

Required Experience

- 15-20+ years in semiconductor and compute systems

- Proven track record delivering silicon to production

- Experience in AI accelerators, GPUs, or HPC systems

- Strong system-level architecture capability

- Experience leading large engineering teams

What Makes This Role Unique

- Opportunity to define post-GPU compute paradigm

- Work on structure-driven computation

- Build compute infrastructure, not just chips

Compensation

- Competitive salary + long-term equity alignment