Pre-Silicon Validation Engineer

Qualcomm

San Diego, CA0–2 yrs1h agovia LinkedIn

Key Responsibilities

  • Develop, deploy, and maintain ASIC/FPGA emulation environments for complex SoC designs.
  • Port RTL designs onto industry-standard emulation platforms such as Cadence Palladium, Siemens Veloce, or FPGA prototyping systems.
  • Work closely with RTL, verification, architecture, and software teams to enable early hardware/software co-validation.
  • Develop testbenches, transactors, and verification infrastructure using SystemVerilog and C/C++.
  • Analyze and debug functional, performance, and system-level issues in emulation environments.
  • Create automation scripts and workflows using Python to improve productivity, regression execution, and debug efficiency.
  • Collaborate with design teams to optimize designs for emulation performance and resource utilization.
  • Develop methodologies for waveform analysis, signal tracing, and failure root-cause identification.
  • Apply AI-assisted tools and techniques to accelerate verification, debug, data analysis, and engineering productivity.
  • Generate technical documentation and present findings to cross-functional teams and leadership.

Requirements & Tech Stack

  • SystemVerilog
  • C/C++
  • Linux environment and shell scripting
  • Python programming
  • ASIC and FPGA Emulation platforms
  • Experience with RTL debugging, waveform analysis, and design verification methodologies.
  • Knowledge of SoC architectures, bus protocols, and hardware/software interactions.
  • Strong analytical and problem-solving skills.

Preferred Qualifications

  • Experience with Cadence Palladium, Protium, Siemens Veloce, or Synopsys ZeBu platforms.
  • Familiarity with FPGA implementation flows using Xilinx or Intel FPGAs.
  • Exposure to AI/ML technologies and AI-powered engineering tools.
  • Knowledge of PCIe, CXL, DDR, Ethernet, or other high-speed interfaces.
  • Experience with cloud-based compute environments and large-scale regression management.

Qualifications

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.

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