Mayank Kaushik
FPGA DeveloperAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Director, Deep Learning Inference Software at NVIDIA
At NVIDIA, I lead world-class engineering teams dedicated to pushing the boundaries of AI Inference across NVIDIA's RTX and Data Center GPUs. My mission is to deliver high-performance AI Inference acceleration solutions with relentless efficiency, ensuring the AI stack scales from the desktop to the data center. I thrive at the intersection of hardware and software, bringing deep technical expertise to the entire lifecycle of AI Inference: from OS internals and device drivers to parallel programming, computer architecture, and high-level inference frameworks. I am passionate about building the foundational tools and stacks that power the next generation of AI.
University of California, Berkeley, Haas School of Business
Master of Business Administration (M.B.A.)
January 1, 2015 – January 1, 2018
The University of Texas at Austin
MS, Computer Engineering
January 1, 2005 – January 1, 2007
Delhi College of Engineering
BE, Electronics and Communication
January 1, 2001 – January 1, 2005
Delhi Public School - R. K. Puram
High School, Science, Computers
January 1, 1999 – January 1, 2001
NVIDIA
Senior Director, Deep Learning Inference Software
March 1, 2026 – Present
NVIDIA
Director, Deep Learning Inference Workflows and Applications
February 1, 2020 – March 1, 2026
Intel Corporation
Principal Engineer / Manager of System SW Architecture, Artificial Intelligence Products Group
April 1, 2018 – February 1, 2020
Intel Corporation
Senior Staff Software Engineer, Artificial Intelligence Products Group
August 1, 2016 – March 1, 2018
Nervana
Staff Software Engineer
May 1, 2015 – August 1, 2016
San Francisco Bay Area
NVIDIA
Manager, Operating Systems Interface team
March 1, 2015 – May 1, 2015
NVIDIA
Senior System Software Engineer, CUDA Developer Tools
October 1, 2011 – March 1, 2015
NVIDIA
System Software Engineer, CUDA Developer Tools
January 1, 2011 – September 1, 2011
NVIDIA
System Software Engineer, Professional Solutions Group
June 1, 2007 – December 1, 2010
Analog Devices
Intern, Digital Video Group
May 1, 2006 – August 1, 2006
Austin, Texas Area
Quazar Technologies
Intern
December 1, 2004 – June 1, 2005
NVIDIA Certified CUDA Programmer
Integral, NVIDIA
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at NVIDIA and Intel, demonstrating loyalty and ability to thrive in large, fast-paced corporate environments. Their progression into senior leadership roles in AI and deep learning inference aligns with a culture focused on innovation and cutting-edge technology. The early FPGA experience, while dated, shows a foundational interest in hardware-software co-design, which is relevant for an FPGA Developer role. However, the recent focus has been heavily on software for AI inference, which might require a re-orientation towards pure FPGA design methodologies.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles at major tech companies (NVIDIA, Intel) suggests strong leadership, project management, and team collaboration skills. Their work on complex system software and deep learning inference indicates a high degree of problem-solving ability and adaptability. The MBA further supports strategic thinking and business acumen.