Ravikiran Vemuri

About Ravikiran Vemuri

PROFESSIONAL SUMMARY Over 20 years of experience in ASIC/SoC Verification, Validation & CharacterizationOver 4 years of Managerial Experience Worked on Programmable FPGA Solutions such as ZYNQ and MPSoC for 28, 20, 16nmWorked on ASIC Solutions such as Thunder-X series for 32nmWorked on Machine Learning (ML) and Artificial Intelligence (AI) based chipsTECHNICAL EXPERTISE:Experience with Module (IP) Level and System (SoC) Level Verification.Strong verification expertise with PCIe (Gen2) TLP, DLLP Layer, Displayport 1.2Familiarity with PCIe Physical Layer, PCIe IO Virtualization, SRIOV Concepts.Strong verification expertise with DisplayPort 1.2 High Speed Protocol.Expertise with ARM based AXI/APB/AHB protocols.Expertise with ARM based Coresight Debug.Strong experience with OVM/UVM Verification Methodologies.Strong experience with System Verilog (SV), System Verilog Assertions (SVA). Experience with memory based protocols such as DDR2, NAND FLASH.Experience with Netlist/Gate Level Simulation (GLS)Proficiency with scripting languages such as CSH, PERL, TCL.Protocols: Peripherals: DisplayPort (DP 1.2),(ONFI) NAND Flash, PCIe, PCI/PCIXFrontSideBus: AXI4/AXI3, APB, AHB, AMD-HyperTransport, Intel IA64 Programming: Verilog, System Verilog(SV), Specman (e), C, SVA, PSLSimulators/Tools: NCSIM, VCS, IFV, JASPER Formal Tools.Scripting: csh, PERL, TCL, python.Methodologies: OVM, UVM, MDV, CDV, ABVTracking Tools: JIRA, DOORSVersion Control: RCS, CVS, PERFORCE, GIT

Experience

1. Senior Principal Engineer

   SiMa.ai

   Jan 2025 — Present · San Francisco, CA, US

   SiMa.ai™ is all about scaling Physical AI! We are passionate about scaling Physical AI across robotics, automotive, industrial automation, aerospace & defense, smart vision, and healthcare. We are shipping the industry\'s best, purpose-built, software centric Physical AI HW/SW platform that is best in class in ease of use, performance, and power efficiency. SiMa.ai is led by technologists and business veterans and backed by a set of top investors committed to scaling Physical AI.

Education

• Andhra University

  BS, Electrical Engineering

  1994 — 1998

• South Dakota Mines

  MS, EE

  1999 — 2001

Skills

• Ic
• Fpga
• Asic
• Formal Verification
• Displayport
• C
• Vlsi
• Dp
• Pcie
• Verilog
• Rtl Design
• Semiconductors
• Assertion Based Verification
• Uvm
• Systemverilog
• Rtl Coding
• Amba Ahb
• Modelsim
• Debugging
• Axi
• Perl
• Eda
• Microarchitecture
• Apb
• Soc
• Functional Verification
• Open Verification Methodology
• System on a Chip (Soc)
• Mixed Signal
• Arm
• Ncsim
• Simulations