D Matrix

Staff Systems and Platforms Software Engineer

Santa Clara, Ca, Ca, United States · Hybrid · FullTime

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About the role

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EmployerD Matrix
LocationSanta Clara, Ca, Ca, United States
Work styleHybrid
Employment typeFullTime
Employer posted17 days ago

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.

Staff Systems and Platforms Software Engineer

Role Overview

d-Matrix is building an in-memory compute platform for AI inference in the datacenter, and this role owns the runtime software that makes that silicon perform. As a Staff Systems and Platforms Software Engineer, you'll architect and develop the runtime, low-level drivers, and systems software that run across the multi-core CPU subsystems inside our SoC and the systems that host it. You'll be the primary owner of runtime performance for the silicon product, setting delivery schedules, upholding d-Matrix's coding and methodology standards, and making the architectural calls that determine how fast and reliably our chips run in production. You'll work closely with the hardware team, hardware verification, and the rest of software engineering to get there.

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What You Will Do

Architect, document, and develop runtime software that executes across the SoC's multi-core CPU subsystems.

Own end-to-end runtime performance of the silicon product.

Design and develop low-level drivers and systems software for the platforms that host the SoC.

Design, implement, and develop distributed, scale-out systems software for AI inference infrastructure.

Set delivery schedules and ensure software meets d-Matrix coding and methodology guidelines.

Identify, analyze, and debug complex systems-level software issues.

Deliver production-quality code across the runtime and driver stack.

Collaborate with the hardware team, hardware verification team, and other software engineers throughout development.

What You Will Bring

Bachelor's degree in computer engineering, electrical engineering, or a related field, with a minimum of 5 years of industry experience in embedded software development.

Hands-on experience with Linux system-level programming.

Strong knowledge of Linux device drivers.

Hands-on systems programming experience in C or C++.

Experience working with containers and VMs.

Strong operating systems fundamentals.

Excellent written and verbal communication skills.

Preferred Qualifications

Experience with Python.

Understanding of the GPU accelerator compute stack.

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.

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