AI Hardware Architect, d-Matrix
AI computing and efficiency software
Be an early applicant
AI computing and efficiency software
21-100 employees
Be an early applicant
21-100 employees
Company mission
To deliver best-in-class economics for AI inference acceleration in the datacenter.
Role
Who you are
- PhD, Computer Science, Engineering or related degree + 15 or more years of industry experience
- Strong grasp of Computer architecture, HW/SW Co-design, digital design, and machine learning fundamentals
- Experience with Data parallel architectures and SIMD/Vector extensions
- Experience with workload characterization and competitive analysis
- Experience with performance modeling, analysis and correlation (w/ RTL) of GPU/AI Accelerator architectures
- Proficient in C/C++ or Python development in Linux environment and using standard development tools
- Self-motivated team player with a strong sense of ownership and leadership
Desirable
- Prior startup, small team or incubation experience
- Work experience at a cloud provider or AI compute / sub-system company
- Experience with ISA design and architecture specification
What the job involves
- The role requires you to be part of the Hardware Architecture team that defines our next generation AI solution
- As part of this team, you will be responsible for design space exploration, workload characterization/mapping and ISA design spanning the data plane as well as control plane in the SoC
- You will design, model and drive new architectural features to help design next generation hardware.
- You will evaluate performance of cutting edge AI workloads. You have had past experience working on performance architecture of AI Accelerators and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design.
- You are able to build and scale architectural solutions in a tight development window.
- You will work with a team of hardware architects to build the architecture from strawman to detailed specification and work closely with other software (ML, Systems, Compiler) and hardware (mixed signal, DSP, CPU) experts in the company
Our take
The explosion in the field of AI puts significant strain on traditional computers, and the silicon architectures currently in use are a bottleneck on the speed and effectiveness of emerging AI models. d-Matrix aims to tackle this challenge by with its digital in-memory computing accelerator for AI. Using a combination of machine learning software tools and modular chiplets it delivers a huge increase in AI computing efficiency without a corresponding increase in energy use.
D-Matrix has major competitors in the race to deliver the next generation of scalable AI solutions. These include the likes of Nvidea which is developing GPU architecture that runs at ten times the efficiency of existing models. However the flexibility and easy scalability of d-Matrix's solution helps it stand out, and its novel approach has gained a high degree of support from investors. The company is currently expanding its operations in the US, India and Australia, and is well poised for success as demand for AI compute solutions continues to grow exponentially.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2023
$110m
SERIES B
Apr 2022
$44m
SERIES A
Total funding: $154m
Company HQ
Santa Clara, CA
Leadership
Sid Sheth
(CEO)Previously Director at NetLogic Microsystems, Director of Marketing at Broadcom Inc and SVP/GM atInphi Corporation.
Sudeep Bhoja
(CTO)Previously CTO at Inphi Corporation, Technical Director at Broadcom and Chief Architect at Big Bear Networks.
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