AI Hardware Architect, d-Matrix
AI computing and efficiency software
Open for applications
AI computing and efficiency software
201-500 employees
Open for applications
201-500 employees
Company mission
To unleash the potential of generative AI to power the transformation of technology.
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
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 (2 rounds)
Sep 2023
$110m
SERIES B
Apr 2022
$44m
SERIES A
Total funding: $154m
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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