Lightmatter is seeking to invent novel hardware systems utilizing cutting-edge technology and to model their performance on both training and inference workloads, to tackle complex challenges in AI data center infrastructure
Requirements
- Solid academic or research background in Machine Learning systems research, including experience with performance evaluation and modeling
- Hands-on experience with machine learning/deep learning methods and knowledge of Large Language Model training and inference frameworks
- Familiarity with modern AI systems infrastructure, including compute (e.g., GPUs, TPUs) and networking technologies (e.g., Ethernet, Infiniband) and their various topologies and trade-offs
- Prior academic publications in relevant venues are a strong plus
- A demonstrated ability for creative problem-solving and applying first-principles thinking to generate novel ideas in an ambiguous environment
- Excellent skills in communicating complex research and technical concepts clearly and effectively
- A strong desire to collaborate across research and engineering functions to bridge gaps and accelerate outcomes
Responsibilities
- Performance analysis of Lightmatter-enabled systems
- The design of high-performance, rack-scale platforms
- The generation of cutting-edge ML systems research
- Research and stay current on the latest advancements in Machine Learning systems and models, particularly Large Language Models (LLMs)
- Develop and utilize tools to model the performance of Lightmatter-enabled systems running various training and inference workloads
- Collaborate on the design of compelling reference platforms systems powered by Lightmatter technology
- Work towards publishing academic papers at top industry conferences or journals, and assist in creating whitepapers, blog posts, and other technical collateral
Other
- Currently pursuing a PhD in Computer Science, Electrical Engineering, or a closely related field
- Demonstrated ability to independently own a research project and drive it from concept to completion within the internship period
- Comprehensive Health Care Plan (Medical, Dental & Vision) benefits
- Retirement Savings Matching Program benefits
- Capacity to comply with the federally mandated requirements of U.S. export control laws
