Machine Learning Research Intern, d-Matrix
$30 – $59 per hour
AI computing and efficiency software
Be an early applicant
AI computing and efficiency software
201-500 employees
Be an early applicant
$30 – $59 per hour
201-500 employees
Company mission
To unleash the potential of generative AI to power the transformation of technology.
Role
Who you are
- Pursuing Masters/PhD degree in Computer Science, Electrical and Computer Engineering, or a related scientific discipline
- High proficiency with PyTorch is a must
- High proficiency in algorithm analysis, data structure, and Python programming is a must
- Current knowledge in machine learning and modern deep learning
- Hands-on experience with modern neural network architectures such as MoEs and Diffusion models
- Knowledge and experience with efficient deep learning is preferred: quantization, sparsity, distillation
- Strong publication records in top machine learning conferences or journals is preferred
- Proficiency with C/C++ programming is preferred
- Proficiency with GPU CUDA programming is preferred
- Experience with AutoML and meta learning is preferred
- Experience with numerical analysis preferred
- Experience with specialized HW accelerator systems for deep neural network is preferred
What the job involves
- 12 Week Program: June 1st - August 21st or June 22nd - September 11th
- The Machine Learning Team is responsible for investigating algorithm-hardware co-design research vectors in d-Matrix's end-to-end solution
- You will be joining a team of exceptional people enthusiastic about researching and developing state-of-the-art efficient deep learning techniques tailored for d-Matrix's AI compute engine
- You will also have the opportunity to collaborate with top academic labs and help customers optimize and deploy workloads for real-world AI applications on our systems
- Design, implement and evaluate efficient deep neural network architectures and algorithms for d-Matrix's AI compute engine
- Engage and collaborate with internal and external ML researchers to meet R&D goals
- Engage and collaborate with Software team to meet stack development milestones
- Conduct research to guide hardware design
- Develop and maintain tools for high-level simulation and research
- Port customer workloads, optimize them for deployment, generate reference implementations and evaluate performance
- Report and present progress timely and effectively
- Contribute to publications of papers and intellectual property
Our take
d-Matrix is redesigning how AI gets done, tackling the limit f traditional chips with its Corsair platform. Using digital in-memory computing and a chiplet-based design, it delivers fast, power-efficient AI interface that's built for today's data-heavy models, without the energy overload.
Recently, the company has been making some serious moves. Its secured substantial funding, with backing from Microsoft, and partnering with HTEC to boost its software capabilities. With Corsair already showing serious speed gains over GPUs like Nvidia's H100, d-Matrix is proving it can deliver real-world performance at scale.
But instead of competing head-on with GPU giants, d-Matrix is focusing on where AI meets people. And with AI growing fast, especially for interactive and generative applications, d-Matrix is building the hardware that helps AI keep up with this demand.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Nov 2025
$275m
SERIES C
Sep 2023
$110m
SERIES B
Total funding: $429m
Company benefits
- Equity
- Health care
- Flexible time-off
- Paid paternity leave
- 401k retirement plan
- Remote & hybrid working model
- Work with world-leading engineers and researchers
- Peer coaching & development
- Team-building activities
- Happy hours
- Free food and snacks
- On-site fitness center
Company HQ
Santa Clara, CA
Leadership
Sid Sheth
(Co-Founder, CEO & President)Previously Director at NetLogic Microsystems, Director of Marketing at Broadcom Inc and SVP/GM at Inphi Corporation.
Sudeep Bhoja
(Co-Founder & CTO)Previously CTO at Inphi Corporation, Technical Director at Broadcom and Chief Architect at Big Bear Networks.
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