Principal Software Engineer, d-Matrix
AI/ML Workloads
$180-300k
+ Offers Equity + Offers Bonus
Office located in Santa Clara, CA
AI computing and efficiency software
Be an early applicant
AI computing and efficiency software
21-100 employees
Be an early applicant
$180-300k
+ Offers Equity + Offers Bonus
Office located in Santa Clara, CA
21-100 employees
Company mission
To deliver best-in-class economics for AI inference acceleration in the datacenter.
Role
Who you are
- MS or PhD preferred in Computer Science, Electrical Engineering, Math, Physics or related degree with 10-12+ Years of Industry Experience
- Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals
- Experience with mapping NLP models (Transformers, State-Space Models, etc.) to accelerators and awareness of trade-offs across memory, BW and compute
- Proficient in Python/C/C++ development in Linux environment and using standard development tools
- Experience with deep learning frameworks (such as PyTorch, Tensorflow)
- Self-motivated team player with a strong sense of ownership and leadership
Desirable
- Research background with publication record in top-tier ML/Computer architecture conferences
- Prior startup, small team or incubation experience
- Experience breaking down Machine Learning models and an understanding of what makes each model unique
- Experience implementing and optimizing ML workloads and low-level software algorithms for specialized hardware such as FPGAs, DSPs, DL accelerators
- Understanding of the nuances included in training and deployment of Distributed ML models, and familiar with techniques like quantization, sparsity, etc
- Experience implementing SIMD algorithms on vector processors
- Willing to keep oneself up-to-date with the latest trends and research in the ML community and understand how the trends affect d-Matrix requirements and approach
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 the development and testing infrastructure for next-generation AI hardware.
- You can build and scale software deliverables in a tight development window. As a part of this team, you’ll be involved in leveraging the d-Matrix ISA and the dataflow architecture paradigm to build optimized implementations of SOTA large language models for achieving benchmark performance metrics.
- You will be involved in developing Machine Learning Op kernels for the graph-based d-Matrix compiler stack and with work with a team of compiler, hardware architecture experts, and Machine Learning model researchers during the process. You will also have the opportunity to contribute to the research of novel techniques for the Machine Learning software stack, models, and architecture
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 values
- All ideas get heard
- Intellectual honesty prevails
- Everyone feels included.
Company HQ
Santa Clara, CA
Articles
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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