Parth Jadvani
Senior Staff Engineer | PIM & GPU Microarchitecture | SoC Architecture & Performance Modeling | LPDDR5 / DFI | Firmware Integration
- Role
- Senior Staff Engineer at Samsung Semiconductor
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Parth Jadvani
I am a Senior Staff Engineer specializing in Processor-in-Memory (PIM), GPU acceleration, and memory subsystem architecture, with 9+ years of experience delivering high-impact solutions across semiconductor, AI, automotive, and multimedia platforms.My work sits at the intersection of architecture, performance modeling, and hardware–software co-design, where I translate complex system-level ideas into measurable performance, power, and efficiency gains.At Samsung Semiconductor, I lead and contribute to PIM and GPU optimization initiatives, building custom architectural simulators, accelerating LLM and deep learning workloads (cuBLAS, cuDNN, PyTorch), and driving JEDEC-compliant LPDDR5 / DFI memory controller development from specification through validation.Previously, at Qualcomm, AMD, and PathPartner, I delivered camera and vision architecture models, secure media pipelines, and production-grade embedded CV/ML systems on heterogeneous SoCs (ARM, DSP, EVE, GPU).What differentiates me- Architecture-first thinking with hands-on execution- End-to-end ownership: modeling → RTL → firmware → system validation- Deep expertise in performance bottleneck analysis and optimization- Proven ability to work across architecture, RTL, DV, firmware, and product teamsFocus Areas:Processor-in-Memory | GPU & AI Acceleration | Memory Controllers | Embedded Systems | Performance Modeling Bangalore, India | Open to Staff / Principal / Architect-level roles
Experience
Senior Staff Engineer
Aug 2022 — Present · Bengaluru, IN
Driving Processor-in-Memory (PIM) architecture and system-level optimization for next-generation compute platforms• Designed and extended custom GPGPU-Sim / PIM-Sim models to quantify performance, bandwidth, and data-movement trade-offs• Accelerated LLM and DL workloads by optimizing cuBLAS, cuDNN, and PyTorch execution paths• Contributed to LPDDR5 & DFI memory controller architecture, including specification, RTL development, integration, and validation• Delivered JEDEC-compliant, high-performance memory subsystems through close collaboration with architecture and RTL teams
Education
CDAC & Gujarat Technological University
Master of Technology - MTech, VLSI & Embedded System Design
2014 — 2016
Gujarat Technological University (GTU)
Bachelor of Engineering (B.Eng.), Electronics and Communications
2010 — 2014
Skills
- Embedded C
- Matlab
- Microcontrollers
- Rtos
- Team Management
- C
- C++
- Linux Kernel
- Embedded Linux
- Arduion
- Verilog
- Labview
- Device Drivers
- Arm Cortex-M
- Atmel Avr
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