Swapnil Sapre

Software Engineer

Bengaluru, Karnataka, India23 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in AI-centric semiconductor design and validation.
  • Proven track record in leading complex SoC projects.
  • Strong focus on system-level responsibility and mentorship.
Stackforce AI infers this person is a Semiconductor Systems Architect with expertise in AI and edge computing.

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Skills

Core Skills

SocChip DesignAi System On ChipSystem ArchitectureProduct DevelopmentSoc VerificationRtl Design

Other Skills

VerificationValidationFPGAEmbedded SystemsProduction TestingAI computingAnalog AI technologyProduct System ValidationFirmwareStorage ProductsPower ManagementPrototype DevelopmentHybrid storageFlash storageProduct certification

About

I work at the intersection of silicon architecture, system design, and product realization, helping transform ambitious ideas into manufacturable, scalable semiconductor chips and system platforms. My focus is not limited to designing chips—but to building complete systems that survive real‑world constraints: performance, power, cost, packaging, verification, manufacturing, and deployment. Over time, I’ve learned that the hardest problems in semiconductors are rarely isolated to one domain; they emerge at the seams between architecture, implementation, and execution. I have led and contributed across the full lifecycle: -System and SoC architecture for AI‑centric, edge platforms, storage controllers, mobile platforms, APUs (CPU-GPU integration level) -RISC‑V subsystems, accelerators, memory, and high‑speed interfaces -RTL integration, verification strategy, and pre‑silicon validation -Software development including driver, BSP, SDK, Application and Data Science -Packaging, test, reliability, cost optimization, and production readiness from GDSII to Field Scenarios -Collaboration across foundries, IP partners, OSATs, chip and system teams What differentiates my approach is a strong bias toward clarity, trade‑off awareness, and execution discipline. I believe good engineering is as much about deciding what not to build as it is about building the right thing—early enough to matter. I enjoy working with teams that value craftsmanship, healthy technical debate, and ownership, and I place high importance on mentoring engineers to think beyond functional correctness toward system‑level responsibility. I collaborate closely with engineering leaders, product teams, and ecosystem partners to bridge the gap between silicon intent and shipped outcomes—especially in AI, edge computing, and emerging compute architectures.

Experience

23 yrs 7 mos
Total Experience
4 yrs
Average Tenure
5 yrs 9 mos
Current Experience

Ambient scientific

Chip & Platform System Engineer (Functional Role) | Asic and HW, SD/DV-Ks, Embedded Systems

Sep 2020Present · 5 yrs 9 mos · India

  • Ambient Scientific Inc. is a Deep Learning Semiconductor startup from the Silicon Valley, California, USA working on Extremely Low Power Digital Analog (DigAn) AI-inference chip products. DigAn is Analog AI computing technology implemented with digital components. Being an Analog AI technology, DigAn provides ultra-high-performance at Extremely-Low-Power. Since it uses digital components, it is flexible, scalable and easy to use like a normal digital technology. DigAn can enable wide range of applications starting from tiniest On-device AI to DataCenter applications.
  • The company is sampling its first TRUE AI processor for On-Device embedded AI computing for a wide variety of applications such as Natural Language Processing, anomaly detection, industrial applications, smart sensor applications etc.
  • AI computing demands new way of building chips. Ambient has invented that NEW Way .... practical, versatile, scalable, manufacturable, efficient, high performance and low cost (yes all of them !!!).
  • Responsible for SOC and Chip Design, Pre Silicon (Verification and Validation) and Post Silicon + Product System Validation, prototype development, improvement and final productization of complex AI System on Chip.
  • Responsible for Making Hardware, Software, Design, Verification, Qualification and Validation- co-work and co-stream in alignment that achieves target of Platform, Prototype, Product and System via FPGA, embedded machines, algorithms and tools.
  • Responsible for development and design of Test boards and reference boards for customers and internal validation and production test
  • Responsible for Production Testing and Operation management with Foundry and OSAT for wafer, die, IC assembly, package, testing and shipments
  • Responsible for Product Qualification via - JEDEC and AES compliances
  • Responsible for SLT- System Level Testing Methodology, DVT- Design validation Tests and PVT (Process, Voltage, Thermal) Characterization
SoCChip DesignVerificationValidationAI System on ChipFPGA+2

Western digital

System Architect, Technology Specialist, Product Line Manager

Feb 2012Sep 2020 · 8 yrs 7 mos · Bangalore, India

  • Led Systems Engineering & Product Development of storage products.
  • Managed Complete Product System Architecture (includes SoC Architecture for Storage chips), Firmware schemes for Flash storage, Complete Product Development -Hardware (Components like ESD diodes, Power Management ICs, Buck Regulator and other generic LDOs, routing, form factor design, signal integrity), Substrate design, Board Bring up, Pre Tape out, Post Tape out and Product System Validation -FPGA based validation, BGA/real chip based validation (in MuB- in Mini Ugly Board or Evaluation Board), actual form factor based product validation with Software developed in house (FPGA based host with interface to driver and Python application/cases running on a PC).
  • Was responsible to accomplish end to end Product line technology, execution and management for
  • i. Hybrid storage based on Flash + Hard disk drive
  • ii. SD, USB, NVMe based storage products (SD cards, M.2 and PCie based SSDs, USB sticks)
  • iii. Performance, power , thermal calculation and optimizations at FW, HW and architecture level
  • iv. Product development and certification for different markets like Automotive, Consumer, Industrial
  • v. Prototype (Proof of concepts development) for various conferences like below (for 1TB SD card, world’s first SD form factor NVMe card).
System ArchitectureProduct DevelopmentFirmwareValidationStorage ProductsPower Management+1

Amd

Senior Design Engineer

Mar 2011Sep 2012 · 1 yr 6 mos · Bangalore Urban, Karnataka, India

  • Worked on Fusion SoCs, System Verilog, OVM, Open Verification Components, SoC Verification, IP Verification and Validation activities.
  • SoC integration for Fusion SoC – UNB + GNB into one SoC. Power, Thermal and Performance evaluation of SOCs
  • Post acquisition of ATI, Canada, my team at AMD was responsible to verify and validate SOC Fusion of UNB and GNB in one chiplet and bring up IP verification, SoC verification, Performance evaluation, power aware verification/simulation.
SoC VerificationIP VerificationPerformance EvaluationPower Aware Verification

Mindtree

Module Lead

Jul 2007Feb 2011 · 3 yrs 7 mos · Bangalore Urban, Karnataka, India

  • Worked at client places like
  • INTEL (DFT for SOC), MTU Aeroengines (DO-254 based IP development and Traceabilty to requirerments) and Nokia (Wireless Modem verification)

World leader in mobile platforms

Design Engineer

Feb 2006Jun 2007 · 1 yr 4 mos · Noida Area, India

  • Responsible for Constrained Random Coverage Driven Verification , And ARM platform/SoC design and verification, Gate Level Verification, Formal Verification
  • a. This was done for- Motorola Moto RAZR platform based on ARM
  • b. Used Synopsys VIP (Verification IP) for ARM 1136/76 (AHB and AXI architectures) as Bus Functional Model (these are used to provide bus level commands or transactions to verify rest of the SoC platform and model/mimic ARM cores at interface level without actually having in brain in it
  • c. Used ARM DSMs (Design Simulation Models System C)- ARM gives this as part of bundle when we buy ARM cores soft IPs. This was used to develop almost exact cycle accurate replica of the system (without actual synthesis of IP cores and ARM CPU cores in hardware level) to early validate algorithms, power, performance evaluations and thus necessary feedback to FW and SW to tune. This would save cycle time for later SOC design, Implementation, Verification, Pre TO and Post TO validation at FPGA/Emulation
  • d. Used various IP, ASIC/SoC verification methodologies like AVM (Mentor Graphics), VMM (Synopsys), eVM -Specman (Cadence)- which later merged in to one UVM – Unified Verification Methodology.
  • e. Used new verification concepts like Assertions, Coverage driven verification, 100% verification etc
  • Done for Motorola Moto RAZR platform based on ARM (at Freescale, later NXP)

world leader in consulting

Project Engineer

Sep 2002Feb 2006 · 3 yrs 5 mos · Pune Area, India

  • RTL design for basic IPs
  • 1394 Firewire -link layer, transaction layer and bridge design and verification, IP verification,
  • SATA1.0a verification, SystemC, Verilog
  • for 1394 serial interconnect (link layer) for SONY, Agere Systems (later LSI)
RTL DesignVerificationSystemCVerilog

Education

Indian Institute of Technology, Bombay

PGD — Embedded System Design

Bhilai Institute of Technology (BIT), Durg

Bachelor of Engineering - BE

Indian Institute of Management Bangalore

Postgraduate Degree

Manipal Academy of Higher Education

Master of Science - MS — VLSI CAD

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