d-Matrix

Tech / AI / Software

StaffRuntimeSystemsEngineer

santa clara, villa clara province, cuba FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Staff candidates.

The Brief

“Staff Runtime Systems Engineer at d-Matrix. Skills: runtime systems engineering, AI compute platform development, in-memory compute for AI inference, multiprocessor system-on-a-chip development, low-level drivers, systems software. runtime software engineering. architecture, development, and validation of the functionality and efficiency of firmware/software that is executed on multiprocessor system-on-a-chip, low-level drivers, and systems software that hosts this SoC”

What You'll Achieve.

unleashing the potential of generative AI; power the transformation of technology; Deliver quality debug complex problems

Industry & Context.

Tech / AI / Software
Problems you'll solve

tackling challenges; debug complex problems

What They're Looking For.

Must Have

Bachelor’s in computer engineering or electrical engineering, minimum of 5 years of industry experience in embedded software development, Experience with Linux system-level programming, knowledge in Linux device driver, Proficiency in C/C++

Nice to Have

Experience working with python is desired, Worked with containers and VMs

What You'll Do.

runtime software engineering

and validation of the functionality and efficiency of firmware/software that is executed on multiprocessor system-on-a-chip

and systems software that hosts this SoC

all aspects of runtime performance of the silicon product

and develop the runtime firmware that executes in various on-chip multi-core CPU subsystems

determining the delivery schedule

ensuring the software meets d-Matrix coding and methodology guidelines

implement and develop systems software for AI inference infrastructure

develop and debug systems software

How You'll Work.

Team & Collaboration

collaborate with the hardware team; collaborate with hardware verification team; collaborate with other members of the software team

Communication Scope

direct communication

Process & Methodology

determining the delivery schedule

Full Job Description

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI.  Location: Hybrid, working onsite at our Santa Clara, CA, headquarters 3 days per week. The role: Staff Runtime Systems Engineer What You Will Do: d-Matrix is developing an AI compute platform focusing on in-memory compute for AI inference in datacenters. This position is for runtime software engineering, working on the architecture, development, and validation of the functionality and efficiency of firmware/software that is executed on multiprocessor system-on-a-chip, low-level drivers, and systems software that hosts this SoC. In this role, you will be largely responsible for all aspects of runtime performance of the silicon product. You will architect, document, and develop the runtime firmware that executes in various on-chip multi-core CPU subsystems. You will be responsible for determining the delivery schedule and ensuring the software meets d-Matrix coding and methodology guidelines. You will collaborate with the hardware team, hardware verification team, and other members of the software team Key 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 Qualification: - Bachelor’s in computer engineering or electrical engineering with a minimum of 5 years of industr

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