Rahul Panchal

Rahul Panchal

Principal Engineer/manager (Graphics systems) @ Qualcomm

About

With over 16 years of experience in graphics systems and video standards, I am currently a Principal Engineer/Manager at Qualcomm. My mission is to advance cutting-edge GPU technologies while fostering collaboration and creativity within a high-performing team. Passionate about delivering innovative solutions, I am committed to enhancing customer experiences and driving process efficiency through automation. By leveraging my expertise in graphics system architecture and silicon debug tools, I aim to support Qualcomm’s vision of shaping the future of multimedia and graphics technology. At Qualcomm, I contribute to the development of GPU shader processors, texture GPU blocks, and tools for silicon debug. My work includes GPU shader instruction set modeling, automation of workflows with Python and Perl, and creating GUI tools to improve user experience. I am dedicated to empowering my team to tackle complex challenges, streamline processes, and deliver impactful solutions in graphics systems.

Country

United States

City

San Diego

Industry

Wireless

Skill

Jinja2, Python (Programming Language), Flask, JavaScript, Bootstrap, Algorithms, GPU, Python, ARM, Debugging, Image Processing, Signal Processing, Digital Signal Processors, Software Development, Embedded Systems, C++, OpenGL, Perl, C, H.264

Experience

Qualcomm

Principal Engineer/manager (Graphics systems)

Qualcomm

LinkedIn
2023-12 - Present · 2 yrs 10 mos

San Diego County, California, United States

Qualcomm

Staff and Senior Staff Engineer/manager (Graphics systems)

Qualcomm

LinkedIn
2011-11 - 2023-11 · 12 yrs 1 mo

Member of Qualcomm Graphics Systems team worked on • Post Si Bringup and debug issues. Tool development to ease Silicon debug. Gui tool Development for richer customer experience. Modeling of shader processor and Texture GPU block in C/C++ • Modeling of Shader Core Instruction Set Assembly (ISA). ISA to JIT conversion in C with built-in shader .DLL generation automated. • Developed Cycle Latency checker for dynamic shader execution flow in C/C++ to lessen RTL debug effort before the chip arrives. • Automate any tedious manual work by writing scripts in Perl and Python. • Able to work in tight Deadline and Process driven team.

Qualcomm

Senior Engineer (Graphics systems)

Qualcomm

LinkedIn
2010-11 - 2011-10 · 1 yr

San Diego, California, United States

Graphics Shader instruction set assembly modeling

Qualcomm

Senior Engineer (Video Standards)

Qualcomm

LinkedIn
2008-10 - 2010-11 · 2 yrs 2 mos

• Multimedia R&D and Standards group. DSP, Video and Image coding/processing. • Develop new algorithm which are faster and/or better performing in C/C++ for Video codecs. • Contributed many video coding proposals to JVT/VCEG/MPEG. Developed coding technologies for SVC (Scalable Video Coding) and H.265(HEVC) , many of which adopted by the JVT "A Hybrid Video Coder Based on Extended Macroblock Sizes, Improved Interpolation, and Flexible Motion Representation". IEEE Transactions on Circuit and Systems for Video Technology, Vol 20, No. 12, December 2010 Many Patents Granted: few topics are: (1) Method to signal a Macroblock type. (2) Explicit Weights for B-Pictures. (3) Method for ME-Free Elimination or Alteration of Temporal Reference Dependencies in Video Transcoding. (4) Simplified Frame Level RD decision for B-Pictures (5) Vector based Fine Granularity Scalability (6) Improved Macroblock Header Coding for VLC (7) CAVLC Based Fine Granularity Scalability

Qualcomm

Engineer (Video Standards)

Qualcomm

LinkedIn
2007-8 - 2008-10 · 1 yr 3 mos

United States

The University of Texas at Arlington

Graduate Research Assistant

The University of Texas at Arlington

LinkedIn
2006 - 2007 · 1 yr
NVIDIA

Intern Software Engineer

NVIDIA

LinkedIn
2006-5 - 2006-8 · 4 mos

Developed algorithm based on video statistics that will consume less battery power while full screen video playback without affecting video quality and thus achieving gain in battery life. Implemented it in C/C++ and ported to NVidia’s core driver.

Education

The University of Texas at Arlington

The University of Texas at Arlington

LinkedIn

Electrical Engineering

MS Thesis on "Improved Refinement Coefficients Coding in Scalable H.264". Research member of Multimedia Processing Lab guided by Dr. K.R.Rao Knowledge of JPEG, JPEG2000, MPEG 2, MPEG 4, H.264 codec.

Rahul Panchal's Contact Information

Email

******@***.com

Phone

(**) *** ****

Find the Right Leads
Find Verified Contact Data

Try with: Jensen Huang @ nvidia.com Click to autofill
LeadContact awards, five-star ratings, and GDPR compliance badges

What LeadContact does well

Find verified emails, phone numbers, and decision-makers with 98% accuracy.

Find Leads

Find Leads

Find the right people by company, role, industry, location, and more.

925M+ professional profiles

Find Leads
Find Emails

Find Emails

Access verified email addresses for your target contacts.

657M+ emails

Find Emails
Find Phone Numbers

Find Phone Numbers

Get cross-validated phone data from multiple top sources.

239M+ phone numbers

Find Phone Numbers

More Accurate. Lower Cost.

Find contact data in 1 tool with 98% accuracy

LeadContact integrates leading enrichment tools to deliver more accurate contact data—without paying for each one.

LeadContact Logo
Competitor Tools

All these = $289 per month

Great conversations start with the right contact.

It’s time to find yours.