Lightmatter | We Build Healthcare Technology Products | Icebreaker

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Lightmatter | We Build Healthcare Technology Products | Icebreaker

Lightmatter | We Build Healthcare Technology Products

Lightmatter | We Build Healthcare Technology Products

Lightmatter is a team of designers, developers, and strategists that build software applications for the world's most promising healthcare companies.

18 members

Contact info

Link

lightmatter.com

Members

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- experienced and creative software engineer - platforms ranging from stackless x86 assembler to parallel/distributed C++-17 - innovative tools, data structures, and algorithms ... - ... solving pressing problems - exploring novel approaches to Big Data in the cloud - analyzing and improving database kernel code - thinking about bottlenecks throughout hardware/software stack - keeping a team happy and productive Specialties: - performance analysis and optimization - file/protocol compression - algorithm and data structure design - understanding of current and future compute/storage/interconnect hardware - matching designs to bandwidth and latency constraints - finding the 10%-effort project that gives 90% of the win

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With over 20 years of engineering management and software development experience, I am the Director of Software Engineering at Symbotic, a leading provider of innovative AI robotics systems for warehouse automation. I have led a global team of energetic engineers who design, develop, and deliver state-of-the-art solutions that optimize palletization, storage, and retrieval of inventory for warehouse industries and customers. I have extensive hands-on experience with embedded systems, firmware, RTOS, and robotics technologies, as well as a solid understanding of the FDA compliance process and medical device standards. I have successfully led geographically distributed teams in Ukraine, and India, using agile methodologies to foster collaboration, innovation, and customer satisfaction. I have also built and maintained strategic partnerships with key stakeholders, vendors, and clients, ensuring alignment of goals, expectations, and deliverables. My mission is to leverage my technical and leadership expertise to create cutting-edge AI robotics solutions that enhance efficiency, safety, and sustainability.

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Current Board Member

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Dynamic and innovative leader with a track record of building teams, creating solutions to hard problems and getting things done. A hands-on leader who executes and implements in addition to planning and managing. Some highlights of impact: - Leading Hardware team at OpenAI - Twice published in Nature on photonic AI compute chip and use of ML for chip design - Taped out world's first photonic compute chip capable of running full ML - NeurIPS poster on use of graph neural-networks to predict verification effectiveness - Nature-published research into using ML for chip design (macro placement) - The original ML Accelerator (Tensor Processing Unit) that re-ignited computer architecture innovation. - The first low-power Arm SoC for data center applications. - The Anton1 and Anton2 machines, which both won the Gordon Bell Prize for Computer Architecture. - Key technology development of Clock-Domain Crossing (CDC) verification methodology. - Mainstream adoption of formal verification for hardware design. - Industry adoption of Assertion-Based Verification for hardware design including SVA definition. - Co-founded EDA company bought by Mentor Graphics/Siemens - still available as part of Questa Suite. Specialties: ML system design and implementation including SoC and ASIC design, verification and implementation and full system management/execution. Special focus on - Advanced packaging - Heterogeneous integration - High speed, high bandwidth IO networking - Advanced memory With deep knowledge of computer architecture, ML acceleration, advanced chip design analysis techniques that include formal verification (model checking), assertion-based verification, coverage-driven verification and specialized methods such as clock-domain crossing analysis. I aim to build teams that efficiently build novel chips attacking the hardest problems with creativity and flair. Publications: bit.ly/RichardHoGoogleScholar As of March 2025 - 42 patents covering design automation, ML for chip design and photonics (see below). Work using ML for chip design published in Nature: https://www.nature.com/articles/s41586-021-03544-w

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Principal Member of the Technical Staff

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Principal Architect

Lauren Salustro

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University Recruiting Campus Manager, Engineering