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Full-time
bachelor degree
Posted 19d ago
~40 hrs/week
Responsibilities
Architect and develop runtime firmware and systems software for an AI compute platform focusing on in-memory compute. Responsibilities include optimizing runtime performance for silicon products and collaborating with hardware and verification teams.
Requirements
Requires a Bachelor's degree in computer or electrical engineering with at least 5 years of industry experience in embedded software. Proficiency in C/C++, Linux device drivers, and system-level programming is essential.
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 Sydney, Australia, office 3 days per week.
The role: Senior toStaff 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 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
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
Related keywords
AI InferenceIn-Memory ComputeRuntime SystemsFirmwareSoCLinuxC++CPythonContainersVMsDevice DriversDistributed SystemsScale-outEmbedded SoftwareComputer Engineering
To make AI inference commercially viable, d-Matrix has built a new computing platform from the ground up: Corsair™, the world’s most efficient compute solution for AI inference at datacenter scale.
We are redefining Performance and Efficiency for AI Inference at scale.
Offices: 5201 Great America Pkwy, Santa Clara, California 95054, US
AIsemiconductorInferenceAI chipsand Blazing fast inferenceSemiconductorArtificial IntelligenceData CenterCloud InfrastructureArtificial Intelligence (AI)