Machine Learning Systems Researcher
Core
Inventing novel hardware systems using silicon photonics and modeling the performance of Lightmatter-enabled systems for AI training and inference workloads.
Role type
Machine Learning Systems Researcher
Builds
High-performance rack-scale designs and reference platforms powered by Lightmatter technology
Domain
AI infrastructure, silicon photonics, data center networking
Deliverable
production ML models
Required skills
Machine Learning systems research, performance evaluation, performance modeling, Large Language Model training and inference frameworks, AI systems knowledge (compute and networking topologies), independent project ownership
Preferred skills
First-principles thinking, creative problem-solving, communicating complex research outcomes, cross-functional collaboration
Technologies
Passage, GPUs, TPUs, Ethernet, Infiniband, NVLink
Responsibilities
Stay up to date on the latest advancements in Machine Learning research; Build tools to model the performance of Passage-enabled systems; Collaborate with product and solutions architecture teams to design reference platforms; Function as the Machine Learning expert in the room; Publish academic papers at top industry conferences and journals
Seniority
Mid-level, hands-on IC