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D-matrix Corporation - San Diego, CA
posted 4 months ago
About the position
The Machine Learning Team at d-Matrix is focused on the research and development of core algorithm-hardware co-design capabilities for the company's innovative AI compute engine. This role involves designing and implementing efficient deep learning techniques tailored for d-Matrix's technology, collaborating with both internal teams and external researchers, and optimizing workloads for real-world AI applications. The position offers the opportunity to contribute to cutting-edge advancements in AI and engage with top academic labs.
Responsibilities
- 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.
- Collaborate with the 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 properties.
Requirements
- Master's degree in Computer Science, Electrical and Computer Engineering, or a related technical discipline with 3+ years of industry experience, PhD preferred with 1+ year of industry experience.
- High proficiency with major deep learning frameworks: PyTorch is a must.
- High proficiency in algorithm analysis, data structure, and Python programming is a must.
Nice-to-haves
- Proficiency with C/C++ programming is preferred.
- Proficiency with GPU CUDA programming is preferred.
- Deep, wide and current knowledge in machine learning and modern deep learning is preferred.
- Experience in real-world data science projects in an industry setting is preferred.
- Experience with efficient deep learning techniques such as quantization, sparsity, and distillation is preferred.
- Experience with specialized hardware accelerator systems for deep neural networks is preferred.
Benefits
- Hybrid work environment with onsite work at Santa Clara, CA headquarters or San Diego, CA 3 days per week.
