AI Security Architect, Senior Principal at d-Matrix

Santa Clara, California, United States

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$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

Key technologies and capabilities for this role

Hardware SecuritySoftware SecurityThreat ModelingAI AcceleratorsMachine LearningComputer ArchitectureSilicon SecurityDesign Verification

Questions & Answers

Common questions about this position

What is the salary range for the AI Security Architect role?

The salary range is $220K - $300K.

Is this position remote or hybrid, and where is it located?

The role is hybrid in Santa Clara, CA, or remote.

What are the key skills and experience required for this role?

Candidates need an MSEE with 20+ years or PhD with 15+ years of experience, solid grasp in computer architecture, secure computing, distributed systems, datacenter reliability, and ML fundamentals, hands-on experience with authentication, isolation, encryption, and programming fluency in C/C++ or Python.

What is the company culture like at d-Matrix?

The culture emphasizes respect, collaboration, humility, direct communication, inclusivity, and diverse perspectives for better solutions, seeking passionate individuals driven by execution.

What makes a strong candidate for this AI Security Architect position?

Strong candidates have extensive experience (MSEE 20+ years or PhD 15+ years), expertise in secure computing and related areas, hands-on skills in security features, programming fluency, a research background with top-tier publications, and are self-motivated team players with collaboration skills.

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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