AI Security Architect, Senior Principal at d-Matrix

Santa Clara, California, United States

d-Matrix Logo
$220,000 – $300,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Semiconductors, TechnologyIndustries

Requirements

  • MSEE with 20+ years of experience or PhD with 15+ years of applicable experience
  • Solid grasp through academic or industry experience in multiple of the relevant areas – computer architecture, secure computing, distributed systems, datacenter reliability/manageability, ML fundamentals
  • Hands-on experience with authentication, isolation, encryption, device signing, servicing in datacenters, and HW-SW feature definition of the same
  • Programming fluency in C/C++ or Python, ability to learn new concepts and quickly prototype for experimentation
  • Research background with publication record in top-tier architecture, security, or machine learning venues is highly desired
  • Self-motivated team player with strong sense of collaboration and initiative

Responsibilities

  • Contribute to hardware and software security features that enhance the next generation of inference accelerators as a member of the architecture team
  • Keep up with the latest research in ML, architecture, and security domains, and collaborate with different partner teams including design, verification, and software
  • Help assimilate customers’ security requirements to define the threat model and mitigation features for computing systems
  • Work with engineering teams to incorporate security requirements at the appropriate design levels

Skills

Hardware Security
Software Security
Threat Modeling
AI Accelerators
Machine Learning
Computer Architecture
Silicon Security
Design Verification

d-Matrix

AI compute platform for datacenters

About d-Matrix

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly within programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. d-Matrix differentiates itself from competitors by offering a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.

Santa Clara, CaliforniaHeadquarters
2019Year Founded
$149.8MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

Hybrid Work Options

Risks

Competition from Nvidia, AMD, and Intel may pressure d-Matrix's market share.
Complex AI chip design could lead to delays or increased production costs.
Rapid AI innovation may render d-Matrix's technology obsolete if not updated.

Differentiation

d-Matrix's DIMC engine integrates compute into memory, enhancing efficiency and accuracy.
The company offers scalable AI solutions through modular, low-power chiplets.
d-Matrix focuses on brain-inspired AI compute engines for diverse inferencing workloads.

Upsides

Growing demand for energy-efficient AI solutions boosts d-Matrix's low-power chiplets appeal.
Partnerships with companies like Microsoft could lead to strategic alliances.
Increasing adoption of modular AI hardware in data centers benefits d-Matrix's offerings.

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