As CEO, a big part of my job is to scour the earth for the best engineers and entrepreneurs. After months of nonstop interviews, I am pleased to announce that several top-notch people are joining the DeepScale team.

Paden Tomasello - Software Engineer

Paden became passionate for HPC and ML while pursuing his undergraduate degree in EECS at UC Berkeley. While in school, he was awarded achievements on projects including parallel ray tracing optimization and computer vision using neural nets. His industry experience includes working at Cloudera, where he helped develop Impala’s JIT compiler, and Graphistry, where he scaled its core clustering algorithms using efficient GPU implementations. Paden was also the top student in the Engineering Parallel Software class taught at Berkeley by DeepScale co-founder Kurt Keutzer in 2013.

Nobie Redmon - Sensor Engineer

Nobie has worked on a variety of technical challenges ranging from developing feedback systems for the LHC to building an algorithmic trading platform for Quantiacs. He has an M.S. in physics from Stanford. From Nobie’s studies and software development he has both a deep understanding of computation and sensing physics. He was most recently at Google implementing scaled anti-abuse workflows. Also, Nobie has known me (Forrest) since we went to high school together at the Illinois Math and Science Academy.

Ben Landen - Director of Business Development

Ben’s career has been fully dedicated to automotive technology. Ben joined Maxim Integrated during the early stages of the company’s automotive business expansion, which enabled him to garner expertise over the gamut of automotive product development, business management, sales/marketing, and quality. Ben has held P&L responsibility for a variety of infotainment and ADAS semiconductors, which are deployed in vehicles all over the world. Ben holds a BSEE from Cal Poly (San Luis Obispo) and an MBA from Berkeley-Haas.

We also welcome a number of interns to the team: Rohan Phadte (Berkeley EECS 3rd-year undergraduate), Paras Jain (Georgia Tech MS CS), and Alvin Wan (Berkeley EECS 3rd-year undergraduate).