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Daniel (Danner) Stodolsky
SVP, Cloud
Daniel (Danner) Stodolsky is a distinguished engineer currently serving as the Vice President of Data Center Architecture at Lightmatter. He has an extensive background in engineering and technology, with significant experience in various leadership roles across prominent companies in the tech industry.
Professional Background
Danner has held several notable positions, including:
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Vice President of Engineering at Google, where he was involved in multiple domains such as YouTube, Google Cloud Platform, and Ads Privacy and Safety. His work at Google included leading efforts in video infrastructure and performance modeling for Google's compute infrastructure.
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Senior Vice President at SambaNova Systems, where he contributed to cloud technologies before transitioning to Lightmatter.
His career also includes roles at Akamai Technologies, Quantum, Verity, and Lycos, where he focused on systems engineering, data strategy, and software engineering. His expertise encompasses hardware/software co-design, video infrastructure, and data center architecture.124
Education
Danner holds multiple degrees from Carnegie Mellon University:
- MS in Mathematics
- BS in Chemistry
- He was a PhD candidate in Computer Science but left the program to pursue opportunities in the tech industry.34
Personal Interests
Outside of his professional commitments, Danner is interested in clean energy and woodworking. He enjoys building and leading teams of varying sizes and has a passion for maturing engineering practices within organizations.24
Highlights
I’m #hiring. Know anyone who might be interested?
Lightmatter is taking our breakthrough photonic interconnect into the hyperscale work, and I'm hiring a few people to help with both workload and network simulations. Photonic interconnects at naturally fast, low power, and high radix, allowing new data center network topologies, compute architectures and bring with them a host of opportunities and optimization problems in scale-up, hyperscale system construction, operation and observability. If someone one your network thinks that 10k nodes 'seems small' and that a network with millions of point-to-point links would be an interesting challenge, please point them my way.
Planning to do a few talks on large scale systems to my new colleagues at #Lightmatter and wanted to reference the classic "Inevitability of Bigtable" talk. I see it was given publicly back into 2016 (https://lnkd.in/e-iKTz3g ) ; anyone know of a public set of slides?
