Deep Learning Software Engineer at NVIDIA
San Francisco Bay Area
Deep Learning Software Engineer @ NVIDIA - Designing, implementing, and optimizing Deep Neural Networks using leading edge Deep Learning frameworks (Caffe, TensorFlow, and Theano) to reduce GPU/CPU time to market- Architecting software to provide a 10%+ improvement in circuit power, performance, and area over industry standard CAD tools - Utilizing my deep background in EE, CS, and...
Deep Learning Software Engineer @ NVIDIA - Designing, implementing, and optimizing Deep Neural Networks using leading edge Deep Learning frameworks (Caffe, TensorFlow, and Theano) to reduce GPU/CPU time to market- Architecting software to provide a 10%+ improvement in circuit power, performance, and area over industry standard CAD tools - Utilizing my deep background in EE, CS, and Math to continuously drive down engineer resource allocation per project Santa Clara, CAPrincipal Software Engineer @ Cadence Design Systems - Re-architecting abstract datapath analysis model to transform it into a full logic analysis engine - Using this engine to achieve massive (> 2x) power reduction for deeply pipelined designs (GPUs, CISC CPUs, etc.) - Proactively reviewing journal publications to identify state of the art synthesis opportunities From July 2014 to May 2015 (11 months) San Francisco Bay AreaResearch and Development Engineer @ Cadence Design Systems - Re-architected the entire dynamic power reduction flow, resolving 100+ bugs and adding 40+ new features - Rewrote the power reporting flow, correcting long-standing errors and created new user-friendly reports - Analyzed customer ‘wish lists’ and transformed those into targeted enhancements that directly increased tool sales - Leveraged existing chip design experience to make targeted, high-impact enhancements to low-power synthesis From October 2012 to July 2014 (1 year 10 months) San Francisco Bay AreaSenior Software Engineer @ Intel - Wrote software to solve novel problems in analog, digital, and mixed signal layout - Entirely re-architected datapath automation software, built dozens of new features, optimized & updated code - Automated entire test suite, designed new tests, root caused failures on weekly builds - Designed and delivered datapath CAD tool training to engineers across the globe From June 2009 to October 2012 (3 years 5 months) San Francisco Bay AreaPhysical Design Engineer @ Intel - Created full schematics and hand drew layouts for three super blocks and nine sub-blocks - Exceeded primary and all secondary timing goals through a combination of gate- and RTL-optimization - Ensured full functional compliance of all designs via Formal Equivalence Verification - Brought top tier candidates to the company by recruiting on site at premier universities From July 2007 to June 2009 (2 years) Fort Collins, Colorado AreaTeaching Assistant @ University of Minnesota - Taught and graded 3 sections of EE 3101 (junior-level EE lab) - Created two new midterm exams, and maintained the class website From September 2006 to December 2006 (4 months) Graduate Electrical Engineering Intern @ Honeywell - Worked with Electrical Engineers to refine a virtual testing environment for prototype thermostats - Collaborated with software developers both on-site, and in the Czech Republic From May 2006 to August 2006 (4 months)
NVIDIA
Deep Learning Software Engineer
Santa Clara, CA
Cadence Design Systems
Principal Software Engineer
July 2014 to May 2015
San Francisco Bay Area
Cadence Design Systems
Research and Development Engineer
October 2012 to July 2014
San Francisco Bay Area
Intel
Senior Software Engineer
June 2009 to October 2012
San Francisco Bay Area
Intel
Physical Design Engineer
July 2007 to June 2009
Fort Collins, Colorado Area
University of Minnesota
Teaching Assistant
September 2006 to December 2006
Honeywell
Graduate Electrical Engineering Intern
May 2006 to August 2006
- Designing, implementing, and optimizing Deep Neural Networks using leading edge Deep Learning frameworks (Caffe, TensorFlow, and Theano) to reduce GPU/CPU time to market- Architecting software to provide a 10%+ improvement in circuit power, performance, and area over industry standard CAD tools - Utilizing my deep background in EE, CS, and Math to continuously drive down engineer... - Designing, implementing, and optimizing Deep Neural Networks using leading edge Deep Learning frameworks (Caffe, TensorFlow, and Theano) to reduce GPU/CPU time to market- Architecting software to provide a 10%+ improvement in circuit power, performance, and area over industry standard CAD tools - Utilizing my deep background in EE, CS, and Math to continuously drive down engineer resource allocation per project
What company does Randy Persaud work for?
Randy Persaud works for NVIDIA
What is Randy Persaud's role at NVIDIA?
Randy Persaud is Deep Learning Software Engineer
What industry does Randy Persaud work in?
Randy Persaud works in the Semiconductors industry.
Who are Randy Persaud's colleagues?
Randy Persaud's colleagues are Chenhan Yu, Charles Lin, Mike Osborn, Travis Carroll, Andy Jarrell, Ziqian Shi, Bharadwaj Krishnamurthy, Ahmad (Rumman), Pooya Davoodi, and Cyril Raju
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