Platform Validation Engineer, Customer Platforms - Tech Lead/Principal at d-Matrix

Santa Clara, California, United States

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$175,000 – $260,000Compensation

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

Full TimeJob Type

UnknownVisa

AI, Hardware, TechnologyIndustries

Requirements

Bachelor’s or Master’s in EE, CS, or related field
5+ years of experience in GPU server platform validation, preferably with PCIe-based hardware
Strong understanding of server architecture, Linux environments, and hardware-software interactions (preferred)
Experience with test automation (e.g., Python, Bash) and validation tools (preferred)
Detail-oriented with strong debugging and documentation skills (preferred)
Experience working with ODM and OEM vendors for GPU servers and rack scale solutions (preferred)
Hands-on experience with Electrical Validation, Functional Validation and High Speed Bus Validation (preferred)
Hands-on experience updating firmware on servers and utilizing custom vendor software tools for debug (preferred)
Stress testing experience (preferred)
Strong debugging skills across hardware (compute and networking) and host/embedded software (preferred)

Responsibilities

Develop and execute system-level test plans for platform validation, including stress, thermal, and PCIe interoperability tests
Automate test frameworks and validation workflows to improve test coverage and efficiency
Drive root cause analysis and debug of failures in collaboration with hardware, firmware, and software teams
Ensure platforms meet internal and external quality criteria for production readiness
Document test procedures, results, and validation status across SKUs

Skills

PCIe

Linux

GPU

server architecture

platform validation

test automation

stress testing

thermal testing

root cause analysis

system-level testing

hardware-software interactions

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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