General Intern Application

Posted 6 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
Hybrid
30-60 Hourly
Internship
Artificial Intelligence • Machine Learning • Software
The Role
Interns will work on real-world projects in hardware and software engineering, engage with experienced mentors, and apply academic knowledge to tackle challenges.
Summary Generated by Built In

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. 

About the Internship

We are always looking to connect with curious and motivated students interested in gaining hands-on experience across hardware engineering, software engineering, machine learning, systems, operations, and business functions. This general internship application is an opportunity to introduce yourself to d-Matrix and be considered for current and future internship opportunities aligned with your interests and academic background.

What You’ll Do

  • Work on meaningful, real-world projects that contribute to active company initiatives

  • Partner with experienced engineers, mentors, and cross-functional teams

  • Apply your academic knowledge to solve practical technical and operational challenges

  • Participate in design discussions, team meetings, and knowledge-sharing sessions

  • Present your work and impact at the conclusion of your internship

What We’re Looking For

  • Currently pursuing a Bachelor’s, Master’s, or PhD in a relevant field

  • Strong foundational knowledge in your area of study (e.g., computer science, electrical engineering, or related disciplines)

  • Curiosity, initiative, and a willingness to learn quickly

  • Strong communication and collaboration skills

  • A passion for AI, technology, and building impactful solutions

Why Join Us

  • Gain hands-on experience working on cutting-edge AI infrastructure

  • Receive mentorship and guidance from experienced professionals

  • Work in a collaborative, fast-paced, and supportive environment

  • Make a real impact and see your work come to life

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.

Top Skills

Hardware Engineering
Machine Learning
Software Engineering
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The Company
HQ: Santa Clara, CA
102 Employees

What We Do

d-Matrix is building a new way of doing datacenter AI inferencing using in-memory computing (IMC) techniques with chiplet level scale-out interconnects. Founded in 2019, d-Matrix has attacked the physics of memory-compute integration using innovative circuit techniques, ML tools, software and algorithms; solving the memory-compute integration problem, which is the final frontier in AI compute efficiency.

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