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AI Software Archtiect Intern

D Matrix

Santa Clara, Ca, Ca, United States Remote internship

Posted: March 5, 2026

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Quick Summary

We're seeking an AI Software Architect Intern with a strong background in programming languages and a passion for AI, looking for a challenging and collaborative environment to contribute to the development of innovative AI software, working closely with cross-functional teams to design, develop, and deploy AI solutions.

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 (Santa Clara, CA)

The role: AI SW Architect Intern

d-Matrix is seeking outstanding computer architects to help accelerate AI application performance at the intersection of both hardware and software, with particular focus on fundamental hardware technologies (such as matrix/vector processing, memory hierarchy, ISA abstraction) and emerging workloads (such as generative inference etc.). Our acceleration philosophy cuts through the system ranging from efficient tensor cores, storage, and data movements along with co-design of dataflow, and collective communication techniques.

What you will do:

· As a member of the architecture team, you will contribute to features that power the next generation of inference accelerators in datacenters

· This role requires to keep up the latest research in ML architecture and algorithms space, and collaborate with different partner teams including design, verification, and software

· Your day-to-day work will include (1) mapping machine learning algorithms into functional, performance specifications of key hardware units (2) proposing new features to enable or accelerate these algorithms, (3) studying the benefits of proposed features with system models (analytical, cycle-level) and generating software references

What you will bring:

Minimum:

· MS with 3+ years of experience or PhD candidates with prior industry internship experience

· Solid grasp through academic or industry experience in multiple of the relevant areas – computer architecture, hardware software codesign, performance modeling, ML fundamentals (particularly DNNs)

· Hands-on experience with SoC design, bus protocols, memory interfaces, network-on-chip topologies, I/O and multi-device scalable systems is preferred

· Programming fluency in C/C++ or Python, familiarity with common ML frameworks (e.g. PyTorch) is preferred

· Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, ICLR, NeurIPS, etc.)

· Self-motivated team player with strong sense of collaboration and initiative

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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