Senior Staff Runtime Systems Engineer at d-Matrix

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, SemiconductorsIndustries

Requirements

Bachelor’s in computer engineering or electrical engineering with a minimum of 7 years of industry experience in embedded software development
Worked with containers and VMs
Experience with Linux system level programming
Strong knowledge in Linux device driver
Proficiency in C/C++
Experience working with Python is desired

Responsibilities

Design, implement and develop systems software for AI inference infrastructure
Identify, analyze, architect, develop and debug systems software
Experience in distributed and scale-out application
Deliver quality code; debug complex problems
Architect, document, and develop the runtime firmware that executes in various on-chip multi-core CPU subsystems
Determine the delivery schedule and ensure the software meets d-Matrix coding and methodology guidelines
Collaborate with the hardware team, hardware verification team, and other members of the software team

Skills

Key technologies and capabilities for this role

systems softwarefirmware developmentlow-level driversmulti-core CPUruntime firmwareSoC programmingAI inferencedistributed systemsscale-out applicationsdebugginghardware verification

Questions & Answers

Common questions about this position

What is the work arrangement or location policy for this role?

The position is hybrid, requiring onsite work at the Santa Clara, CA headquarters 3 days per week.

What is the salary for this position?

This information is not specified in the job description.

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

Candidates need a Bachelor’s in computer engineering or electrical engineering with at least 7 years of industry experience in embedded software development, proficiency in C/C++, strong knowledge in Linux device drivers, experience with Linux system level programming, and experience working with containers and VMs. Experience with Python is desired.

What is the company culture like at d-Matrix?

The culture emphasizes respect, collaboration, humility, direct communication, inclusivity, and valuing differing perspectives for better solutions. They seek passionate individuals driven by execution and a willingness to embrace challenges.

What qualities make a strong candidate for this position?

Strong candidates have humble expertise, kindness, dedication, and a willingness to embrace challenges and learn together every day.

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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