Principal AI Security Architect
d-MatrixJob Title
Principal AI Security Architect
Role Summary
Design scalable, secure, high-performance AI accelerator systems and lead HW–SW co-design for datacenter deployments. The role spans silicon to software and focuses on architecture, reliability, manageability, and security to meet customer requirements at scale.
Experience Level
Senior-level. Typical candidates have substantial industry or research experience; the posting specifies either a PhD with ~10+ years or an MSEE with ~15+ years of relevant experience.
Responsibilities
Contribute to the architecture and features of inference and network accelerators and ensure systems meet datacenter customer requirements.
- Define system-level architecture for AI accelerators incorporating security, reliability, and manageability.
- Collaborate with design, verification, and software teams to translate architecture into implementable designs.
- Drive HW–SW co-design decisions that balance performance, security, and scalability.
- Assimilate customer requirements and ensure designs meet production datacenter needs.
- Track and apply current ML, architecture, and security research to product features.
- Prototype and validate concepts; iterate with engineering teams.
Requirements
Required technical skills and professional attributes.
- Must-have: Strong expertise in computer architecture, secure computing, distributed systems, datacenter reliability/manageability, and ML fundamentals.
- Must-have: Programming fluency in C/C++ or Python and the ability to prototype quickly.
- Must-have: Proven ability to collaborate across hardware and software teams and drive architectural decisions.
- Nice-to-have: Familiarity with RTL and hardware design flows.
- Nice-to-have: Record of innovation (patents, publications) in architecture, security, or machine learning.
- Self-motivated team player with strong communication and initiative.
Education Requirements
Either an MSEE with 15+ years of applicable experience or a PhD with 10+ years of applicable experience. Relevant fields include computer architecture, secure computing, distributed systems, datacenter reliability/manageability, and machine learning. The posting emphasizes advanced academic credentials and research/innovation experience (patents/publications) but does not state alternate-equivalent-experience language.
About the Company
Company: d-Matrix
Headquarters: Santa Clara, California, United States
d-Matrix is a Santa Clara–based startup developing highly programmable in-memory computing architectures and accompanying software to accelerate generative AI and other AI workloads, focusing on hardware-software co-design for cloud and edge applications.
