d-Matrix
The Staff Software Engineer - Kernels at d-Matrix is responsible for developing, enhancing, and maintaining software kernels for next-generation AI hardware. This role requires a strong background in computer architecture and proficiency in C/C++ and Python, as well as experience in optimizing algorithms for specialized hardware like FPGAs and GPUs. The engineer works collaboratively within a team to build out compiler infrastructure and optimize hardware-software co-design, contributing to the productization of the software stack for AI compute engines.
Headquarters
Santa Clara, California, United States
Company Size
51-200 employees
Founded
2019
d-Matrix is revolutionizing generative AI with its cutting-edge inference platform, Corsair™, designed for ultra-low latency and high throughput in data centers. The platform integrates memory-compute technology, enabling speeds of 60,000 tokens per second with just 1ms latency for advanced models, making it both efficient and sustainable. With a focus on scalability, d-Matrix's products cater to a wide range of enterprise needs, advancing the accessibility and performance of AI technologies. Additionally, d-Matrix is committed to sustainability, allowing organizations to achieve impressive performance while minimizing energy consumption.
d-Matrix and Gimlet Labs to Deliver 10x Speed Ups, Massive Power Efficiency for Frontier AI Workloads
19 hours ago
d-Matrix Raises $275 Million to Power the Age of AI Inference
Nov 12, 2025
Why d-Matrix bets on in-memory compute to break the AI inference bottleneck
1 month ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for d-Matrix.
d-Matrix Announces SquadRack, Industry's 1st Rack-Scale Solution Purpose-Built for AI Inference at Datacenter Scale
Oct 15, 2025