d-Matrix

AI / ML System Software Engineer, Senior Staff

Santa Clara, California, United States

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$180,000 – $280,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Hardware, Enterprise SoftwareIndustries

Requirements

Candidates should possess a BS in Computer Science, Engineering, Math, Physics, or a related degree with at least 8 years of industry software development experience, while an MS in a related field is preferred with 5+ years. A strong grasp of computer architecture, data structures, system software, and machine learning fundamentals is required. Proficiency in C/C++/Python development within a Linux environment and experience with distributed, high-performance software design and implementation are essential. Self-motivated team players with a strong sense of ownership and leadership are preferred, along with experience in implementing SIMD algorithms on vector processors and working with open-source ML compiler frameworks, deep learning frameworks, and MLOps.

Responsibilities

The Senior Staff Software Engineer will be responsible for productizing the software stack for the AI compute engine, developing, enhancing, and maintaining next-generation AI deployment software. They will work with a team of compiler experts to build out the compiler infrastructure, collaborating closely with software and hardware experts to optimize and trade-off various aspects of hardware-software co-design. Additionally, they will build and scale software deliverables within tight development timelines.

Skills

C++

Python

Linux

Data Structures

Computer Architecture

Machine Learning

Distributed Systems

High-Performance Software

SIMD

Vector Processors

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.

Key Metrics

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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