Satyakiran Munaga
FPGA DeveloperDatacenter Product Roadmap Influencer @ Nvidia
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Datacenter Product Roadmap Influencer @ Nvidia
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Specialties: Deep learning power modeling and optimization, PPA analysis, Competitive analysis, Technology aware design, Real-time embeded system design, processor architectures and compilers, DSP software optimization, design for reliability, low-power SoC design, dynamic thermal management, SystemC modeling, performance analysis
KU Leuven
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering
January 1, 2005 – January 1, 2015
Indian Institute of Technology, Delhi
M.Tech, VLSI Design Tools & Technology
January 1, 2000 – January 1, 2001
Andhra University
B.E., Electrical Engineering
January 1, 1996 – January 1, 2000
NVIDIA
Director of Architecture (GPU hardware & datacenter power)
February 1, 2015 – Present
Santa Clara
Qualcomm
Senior Engineer, QCT Architecture
November 1, 2011 – January 1, 2015
Greater San Diego Area
Essensium
SoC System Architect
November 1, 2010 – October 1, 2011
Cognovo
Senior Design Engineer
November 1, 2010 – February 1, 2011
IMEC
Researcher
September 1, 2005 – October 1, 2010
Intel
Platform Simulator Design Engineer
June 1, 2004 – September 1, 2005
Indian Institute of Technology, Delhi
Research Associate
January 1, 2003 – May 1, 2004
Indian Institute of Science
Research Associate
February 1, 2002 – December 1, 2002
Philips Research
Intern
September 1, 2001 – November 1, 2001
Cultural Fit Analysis
The candidate has a diverse background working across multiple prominent companies (NVIDIA, Qualcomm, Intel) and research institutions (IMEC, IIT Delhi, KU Leuven), indicating adaptability and exposure to different organizational cultures. The breadth of experience from academic research to product development (GPU hardware, datacenter power, SoC platforms, cellular baseband) suggests a versatile individual who can contribute to various aspects of hardware development. The long tenure at NVIDIA (7+ years) also indicates stability and commitment.
Soft Skills & Operational Fit
The candidate's extensive experience in various research and development roles, including leadership positions (Director of Architecture), suggests strong problem-solving, analytical, and potentially leadership skills. The descriptions of responsibilities imply a capacity for complex system-level thinking and collaboration. However, without specific psychometric or English test scores, a direct assessment of soft skills and operational fit is limited.