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.
Job Title: Software Engineering Intern - Kernels
Location: Toronto, Canada
Program Duration:
12 weeks: June 1st - August 21st or June 22nd - September 11th
Project Overview:
As a Software Engineering Intern within our Kernels team, you will play a key role in developing high performance kernels essential for accelerating Machine Learning models. Your responsibilities will span developing reference implementations for accuracy verification, defining unit tests for implemented operators, performance tuning, scalability analysis across varied problem sizes, and packaging/shipping the final implementations. You will also collect performance metrics and identify bottlenecks to improve core functionality.
What You Will Do:
Implement high performance kernels in low-level languages (Assembly/ISA experience a plus)
Develop, test, and tune kernels for machine learning models and performance
Create and automate reference implementations and unit tests
Analyze scalability and performance, collect metrics, and troubleshoot bottlenecks
Package and share implementations with partner teams
Required Skills:
Ability to implement high performance kernels in low-level languages; Assembly/ISA coding experience is advantageous
Proficiency in Python and/or C++
Solid background in Machine Learning model architecture (e.g., LLMs, CNNs)
Experience with ML frameworks such as PyTorch and ML packages like Numpy
General understanding of computer architecture (CPU, GPU, custom ASICs, etc.)
Currently enrolled in a graduate program (Master's or Ph.D) in a relevant discipline
Preferred Qualifications:
Previous internship or project experience related to high performance computing or ML kernel development
Familiarity with additional ML frameworks (TensorFlow, etc.)
Interest in hardware-software co-design
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
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.
