CPU Subsystem Verification Engineer

Company: Arm

Key Skills: Design Engineer, Verification, RTL, CPU, Subsystem, Memory Design, FPGA, Testbench Development, Debug

Roles and Responsibilities:

• Develop and execute verification strategies for CPU subsystems and associated IP.
• Verify processor subsystems including cache hierarchy, coherency, interrupt controllers, debug, trace, memory interfaces, and subsystem integration.
• Validate functional correctness, coherency, performance scenarios, and power management across CPU subsystems.
• Own verification deliverables from planning through verification closure while ensuring quality, schedule, and execution commitments are met.
• Architect, develop, and maintain reusable verification environments, verification IPs, methodologies, and automation.
• Develop verification plans, test methodologies, test cases, and coverage closure strategies.
• Drive functional, code, toggle, assertion, and coverage closure.
• Debug RTL, testbench, integration, and system-level issues.
• Collaborate with architecture, design, firmware, emulation, FPGA, validation, and post-silicon teams.
• Leverage automation, scripting, and AI-assisted workflows to improve verification productivity.
• Contribute to methodology improvements, documentation, and engineering best practices.

Skills Required:

• 2-4 years of experience in CPU, subsystem, or SoC verification.
• Strong knowledge of Verilog, SystemVerilog, UVM, and modern verification methodologies.
• Understanding of Arm CPU architecture, memory hierarchy, coherency protocols, interrupts, and subsystem integration.
• Experience with C/C++, scripting, coverage closure, and RTL/testbench debugging.
• Excellent analytical, communication, and collaboration skills.

Desired Skills and Qualifications

• Experience with CHI, ACE, AMBA, GIC, RAS, or debug/trace.
• Experience with performance and power-aware verification (UPF).
• Experience with emulation, FPGA, gate-level simulation, or post-silicon validation.
• Knowledge of Arm System Architecture.
• AI-assisted verification experience.

Education: Bachelor's or Master's degree in a relevant engineering discipline.