About Wave Computing
Wave Computing is a Silicon Valley startup that is revolutionizing the deep learning industry by enabling organizations to drive better business value from their data with its roadmap of WaveFlow™ computing systems. The company’s innovative system solutions based upon dataflow technology provide high-performance training and high-efficiency inferencing at scale, bringing deep learning to customers’ data wherever it may be.
With funding from Tier 1 VCs, an IP portfolio including more than 70 patents, and a track record of execution, Wave Computing is dedicated to accelerating the application of deep learning in the datacenter and beyond. The company was named a Machine Learning Industry Technology Innovation Leader by Frost & Sullivan, and a Top 25 Artificial Intelligence Provider by CIO Application Magazine.
Wave Computing’s core values play a significant role in the organization’s culture and how the company does business. To learn more about these core values, click here.
Derek Meyer, Chief Executive Officer
Derek is the Chief Executive Officer of Wave Computing. Derek brings over 20 years of executive management, corporate strategy, product development and go-to-market experience to Wave. As CEO, Derek is leading the company’s initiatives to deliver the world's first dataflow solutions for the rapidly expanding Deep Learning market.
Prior to joining Wave, Derek held executive leadership positions in business development, marketing, and general management with both established and startup companies in the semiconductor and computer systems industries, including ARC, CEVA, Philips, Silicon Graphics, Sun Microsystems, Harris Computers and MIPS Technologies. At MIPS, Derek was part of the executive team who took the company public.
Derek received his BS in Physics from Florida Atlantic University where he also studied for his MS in Astrophysics.
Dr. Chris Nicol, SVP and Chief Technology Officer
Chris is the Chief Technology Officer of the company and the lead architect of the DPU architecture incorporated into Wave’s Deep Learning Computer. In addition to his duties as CTO, Chris leads the systems team developing products, the runtime software environment and benchmarking applications using deep learning frameworks.
Prior to Wave, Chris was Chief Technology Officer, Embedded Systems at NICTA, an Australian ICT R&D organization he helped to establish, where he supported over 20 R&D projects across 5 labs in hardware and software development for intelligent, secure, robust and power efficient embedded systems. Prior to NICTA, he founded Bell Labs Research in Australia and Agere Systems in Australia and he worked for AT&T Bell Labs, New Jersey.
He received the PhD degree from the University of New South Wales and the MBA from the Australian Graduate School of Management. He is an inventor on 21 U.S. patents. He has served on the TPC of ISSCC twice, and is serving his second term on the TPC of IEEE International Symposium on Low Power Electronics and Design.
Dennis Bencala, Chief Financial Officer
Dennis Bencala brings more than 20 years of financial management and leadership experience to Wave Computing, with a proven track record in scaling early and mid-stage technology companies. In his role as chief financial officer, Dennis oversees the company’s financial and business operations and plays a key role in the development of its business strategy. Prior to Wave Computing, Dennis worked at companies including ikeGPS, Ikanos Communications, and SiRF Technology. While at each company, he played a critical role in partnering with management teams to drive exceptional business growth. Dennis holds a bachelor’s degree in finance from San Diego State University.
Lee Flanagin, SVP and Chief Business Officer
As Wave Computing’s Chief Business Officer, Lee leads the company’s revenue generation and go-to-market efforts. This includes the company’s Sales, Customer Support, Product Marketing, Industry Marketing, and Data Science programs. Prior to joining Wave, Lee was a member of CTO staff at Cisco Systems and ran global corporate marketing and communications for SanDisk. His background also includes holding executive and leadership positions at other leading high-technology companies, as well as serving as a Planning Commissioner for a major Silicon Valley city and as a member of two branches of the U.S. military.
Dr. Jin Kim, VP and Chief Data Scientist
Jin Kim is Wave Computing’s Chief Data Scientist and head of the company’s data science activities. In this role, he drives the company’s Proof-of-Concept (PoC) programs with key customers, and plays a critical role in helping define Wave Computing’s overall deep learning, data science and ecosystem strategies.
Jin has spent more than 20 years as a security researcher, scientist and entrepreneur, studying machine learning, deep learning, and artificial intelligence at leading organizations. Prior to Wave Computing, he held executive positions at GraphSQL, Objectivity, Skytree and other companies. A recognized thought leader in the deep learning industry, Jin received his PhD in Computer Science and Engineering from Carnegie Mellon University where he was also an adjunct professor of Computer Science and Director of Knowledge-Based Systems.
Paul Alpern, VP and General Counsel
Paul is Vice President and General Counsel at Wave Computing, bringing more than 20 years of in-house corporate, licensing and international legal experience, traversing the semiconductor licensing, hardware and software fields. Prior to this, he was Associate General Counsel at Applied Micro Circuits Corporation (now MACOM Connectivity Solutions), with oversight of M&A, compliance, export, and commercial activities. Previous roles include Director of Licensing for MIPS, where Paul helped expand the company’s global and emerging market architecture and core transactions, and Sumitomo Chemical, where he became the company’s first in-house legal counsel in Japan. In addition, Paul held director and senior director positions in SanDisk Corporation’s legal department.
Paul received a bachelor’s degree from University of California, Berkeley, and received a law degree from Harvard Law School.
Dr. Samit Chaudhuri, VP, Software Engineering
Samit is the Vice President of Software Engineering at Wave Computing. In this role, he contributes to and helps lead the development of the WaveFlow™ DPU software stack, which accelerates dataflow programs on Wave Computing’s Course Grain Reconfigurable Array (CGRA) architecture. Prior to joining Wave Computing, Samit, who is best known for his expertise on compilers and hardware synthesis, led software and algorithm development teams for multiple technology companies and startups, including Cadence Design Systems, Magma (now a part of Synopsys), and Oasys (now a part of Mentor Graphics). He received his PhD in Computer Engineering from Rensselaer Polytechnic Institute, with a research focus on compilers and high-level synthesis.
Darren Jones, VP, Hardware Engineering
Darren is the VP of Hardware Engineering at Wave Computing. In this role, Darren is responsible for all aspects of hardware engineering and leads a multi-zone team (U.S. and overseas) for development of Wave DPU Architecture. This includes integration of the revolutionary DPU array as well as IP cores such as PCIe, DDR, and HMC.
Darren has over 25 years of experience designing and verifying processor-based SoC chips. Most recently, he drove the successful tapeout of two generations of Xilinx Zynq family SoC's at the 28nm and 16nm process nodes. Before that, he worked at MIPS Technologies to deliver multiple generations of their midrange processor IP portfolio.
Darren received a BSEE from the University of Illinois and an MSEE from Stanford University. He has coauthored over 20 patents focused primarily on processor design and multithreading.
Mike Uhler, VP, Systems Engineering
Mike is the Vice President of Systems Engineering at Wave Computing. In this role, he is responsible for delivering Wave’s leading-edge technology to the customer in a complete system solution. Mike has a long history in software, architecture, microprocessor, SoC and system design, with extensive experience in strategy and business development of technology.
Prior to Wave, Mike was VP of the Smart Data Acceleration program at Rambus, where he was responsible for all aspects of the program which delivered significant improvements in performance and power efficiency for big data applications in the data center. Mike’s prior experience includes leadership and engineering positions with AMD, MIPS Technologies, Silicon Graphics and Digital Equipment Corporation.
Mike received the BSEE and MSCS degrees from the University of Arizona and is an inventor on 42 U.S. patents.
Rufino Olay III, VP, Product and Program Management
Rufino is the VP of Product and Program Management at Wave Computing. His experience includes over 20 years in the technology industry managing the design and launch of semiconductor products at companies throughout Silicon Valley. Prior to joining Wave Computing, Rufino drove product alignment and revenue growth that led to the acquisition of three companies.
Rufino earned an MBA from Saint Mary's and a Bachelor of Science degree in Electrical Engineering from San Jose State University and served as the Santa Clara Valley IEEE Executive Committee Chairman.
Dawn Voss, VP, Sales
As the Vice President of Sales for Wave Computing, Dawn leads global sales efforts for the company’s line of deep learning systems. She brings more than 20 years of sales, business development, customer account management and go-to-market experience to this role.
Dawn has deep experience creating strategic partnerships with global accounts, driving OEM channel development, promoting customer loyalty and leveraging success across market verticals. Prior to joining Wave Computing, Dawn held numerous leadership positions in business development and sales for a range of Silicon Valley-based organizations including startups and non-profits, as well as for Sun Microsystems, where she spent extensive time as Sales Development Manager, working closely with global enterprise-class customers.