AI Software Application Engineer, Technical Lead / Principal at d-Matrix

Santa Clara, California, United States

d-Matrix Logo
$180,000 – $300,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Hardware & Software InnovationIndustries

Skills

Key technologies and capabilities for this role

AI/ML softwaregenerative AI inferenceAI model deploymentautomation toolsscriptingtroubleshootingperformance optimizationsoftware stack installation

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $180K - $300K.

Is this a remote position or does it require office work?

This is a hybrid position.

What are the key requirements for this role?

Candidates need 10+ years of experience in customer engineering and field support for enterprise-level AI and datacenter products focused on AI/ML software and generative AI inference, in-depth knowledge of generative AI inference at scale including production deployment, and experience with automation tools and scripting.

What is the company culture like at d-Matrix?

The culture emphasizes respect, collaboration, humility, direct communication, and inclusivity, with a team that values differing perspectives for better solutions.

What makes a strong candidate for this AI Software Application Engineer role?

Strong candidates have 10+ years in customer engineering for AI/datacenter products, hands-on expertise in scaling generative AI inference and production deployments, experience with automation scripting, and a passion for tackling challenges with a drive for execution.

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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