Senior Hardware Verification Engineer - Cork, Ireland

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling

I korthet

QT Technologies Ireland Limited is seeking a Senior Hardware Verification Engineer in Cork to verify complex processor architectures for AI and DSP technologies. The role requires a Bachelor's degree, 4+ years of experience in hardware verification, and proficiency in SystemVerilog and UVM.

Ansvarsområden

Drive the verification of complex processor, DSP, AI accelerator, and system-level hardware designs.
Develop comprehensive verification plans, testbenches, and coverage strategies.
Drive verification execution using constrained-random, coverage-driven, assertion-based, and formal verification methodologies.
Collaborate with design and architecture teams to review specifications and identify potential verification risks.
Debug complex RTL and system-level issues through simulation, emulation, and formal analysis.
Develop reusable verification infrastructure, automation, and verification IP.
Analyze coverage and verification metrics, driving closure activities.
Contribute to continuous improvements in verification methodologies, tools, and workflows.

Krav

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related discipline.
4+ years of experience in hardware design verification.
Strong experience with SystemVerilog, UVM, and modern verification methodologies.
Experience verifying complex CPU, GPU, DSP, AI accelerator, networking, or SoC designs.
Solid understanding of computer architecture, microprocessor design, and digital design fundamentals.
Proficiency in programming and scripting languages such as C, C++, Python, or similar.
Strong debugging and problem-solving skills.

Önskade kvalifikationer

Master's or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
Experience with high-performance microprocessor or DSP architectures.
Experience with Formal Verification methodologies and tools.
Knowledge of AI/ML acceleration architectures, vector processing, or custom compute engines.
Experience with emulation, FPGA prototyping, or post-silicon validation.
Familiarity with low-power and performance verification techniques.