Thermal Engineer, Principal at d-Matrix

Santa Clara, California, United States

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$196,000 – $327,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, High-Performance ComputingIndustries

Requirements

Bachelor's degree required, preferably in Thermal, Mechanical, Electrical Engineering, Computer Science, or related engineering discipline. Master's or PhD is preferred
12+ years’ experience in data center solutions, HPC, AI infrastructure or equivalent is desirable
Experienced thermal engineer with extensive thermal characterization of next generation ASIC products
Ability to develop and validate thermal models for various challenging thermal designs including die, package, system level thermal modeling
Hands-on experience with test equipment such as wind tunnels, thermal chamber, heat sinks, cold plates, etc

Responsibilities

Develop and integrate innovative thermal solutions / applications by collaborating with design, testing, and engineering teams
Lead the design, deployment, and delivery of liquid cooled / air-cooled, HPC and AI supercomputing projects, ensuring alignment with performance, quality, and timeline expectations
Evaluate the system layout, power consumptions, air flow, acoustics, sensors and related mechanical requirements
Perform component, system and rack level thermal and mechanical design for cooling systems
Manage data center projects from conception to delivery, ensuring high levels of customer satisfaction
Understand system design requirements for High Performance Computing and AI workloads to drive platform configuration guides for x86 and ARM servers
Prepare product drawings, BOM, SOP, DFM and system design/test reports
Perform thermal/mechanical debugging, system optimization and documentation
Analyze structural and thermal aspects to ensure feasibility and specify thermal interface materials and manufacturing process
Provide identification and creation of new techniques to advance thermal/mechanical development and validation
Responsibilities include thermal simulations, analysis, and testing to validate thermal solutions to meet the product requirements
Collaborate with internal engineers to provide technical guidance to optimize thermal solutions including heat sink and liquid cooling solutions
Work with cross-functional teams including mechanical, electrical, and manufacturing

Skills

Thermal Design

Thermal Analysis

Thermal Architecture

Liquid Cooling

Air Cooling

Thermal Validation

Server Design

Rack Design

HPC

AI Accelerator

Acoustics

Power Consumption Analysis

System Layout

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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