To make AI inference commercially viable, d-Matrix has built a new computing platform from the ground up: Corsair™, the world’s most efficient compute solution for AI inference at datacenter scale.
We are redefining Performance and Efficiency for AI Inference at scale.
To make AI inference commercially viable, d-Matrix has built a new computing platform from the ground up: Corsair™, the world’s most efficient compute solution for AI inference at datacenter scale.
We are redefining Performance and Efficiency for AI Inference at scale.
Total funding (company-stated): ≈ $450M (company-stated)
Employee count (snapshot): 265
Company Overview
Problem Domain
AI inference acceleration for datacenter-scale generative AI
Founded
2019
Industry
Semiconductor Manufacturing
Funding Track Record
Series B- 2023-09-06
110000000
Series C- 2025-11-12
275000000
Company-stated valuation $2 billion; company-stated total funding to date $450 million
Investor Signal
“Participation from strategic and financial investors including Temasek, Playground Global, M12, Nautilus Venture Partners, Industry Ventures, Mirae Asset”
Founders
What we do
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Join the Team
Senior Staff Software Engineer
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
Who you are
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Backend Developer
ContractNiš, RS
Contract • Niš, RS
Frontend Developer
Full-timeRotterdam, NL
Full-time • Rotterdam, NL
Data Scientist
InternshipNew York, US
Internship • New York, US
AI Researcher
InternshipRotterdam, NL
Internship • Rotterdam, NL
Machine Learning Engineer
ContractLondon, GB
Contract • London, GB
Software Engineer
InternshipBerlin, DE
Internship • Berlin, DE
You possess experience building software kernels for HW architectures
You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture
You understand how to map computational graphs generated by AI frameworks to the underlying architecture
You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design
You can build and scale software deliverables in a tight development window
MS in computer engineering, math, physics, or a related degree with 10+ years of industry experience or PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience
Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals
Proficient in C/C++ and Python development in Linux environments and using standard development tools
Experience implementing algorithms in high-level languages such as C/C++ and Python
Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc
Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc
Experience with development for embedded SIMD vector processors such as Tensilica
Self-motivated team player with a strong sense of ownership and leadership
Prior startup, small team, or incubation experience
Experience with ML frameworks such as TensorFlow and/orPyTorch
Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc
Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation
Work experience at a cloud provider or AI compute/subsystem company
What the job involves
The role requires you to be part of the team that helps productize the SW stack for our AI compute engine
As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware
You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company
