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 office 3 days per week.
12 Week Program: June 1st - August 21st or June 22nd - September 11th
The Team
The D‑Matrix Simulation and Modeling team provides a Virtual Platform that enables software development early in the product cycle.
The platform includes:
Bit‑accurate functional reference models
Cycle‑approximate simulations
Detailed cycle‑accurate simulations
The platform is written in C++ and Python, and makes heavy use of generators and run‑time configuration. Many simulations are large‑scale, and the platform supports distributed workloads.
The Role
You will help develop functional reference models and performance simulators that support early software development and architectural exploration.
In this role, you will:
Learn to interpret hardware specification documents and assist in developing algorithmic or transactional models of hardware behavior
Collaborate with senior engineers, architects, and hardware designers to clarify documentation and resolve issues
Contribute to modeling infrastructure under the guidance of experienced team members
Participate in model bring‑up, testing, and correlation efforts
Support debug activities across workloads and architectural scenarios
You
You are excited about computer architecture, simulation, and system‑level modeling.
You have strong fundamentals in C++ and an interest in building accurate and efficient models of hardware behavior.
You enjoy learning complex systems, asking good questions, and working closely with others to solve problems.
You are curious about transaction‑level modeling and eager to learn how simulation tools are built and used in large‑scale development environments.
Qualifications
Required Qualifications
BS in Computer Engineering, Electrical Engineering, Computer Science, or a related field
Strong programming skills in C++
Familiarity with Python for scripting or tooling
Understanding of computer architecture fundamentals (pipelines, memory hierarchy, etc.)
Comfortable working in a Linux environment
Desired Qualifications
Coursework, internships, or projects involving hardware modeling, simulation, or computer architecture
Exposure to transaction‑based modeling frameworks (e.g., SystemC, SPARTA, gem5)
Experience with event‑driven simulation, numeric representations, or related topics
Interest or experience in distributed systems, HPC, or cloud‑based computing
Familiarity with common machine‑learning workloads or models (e.g., BERT, GPT, Llama)
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.
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.
