Senior Verification Engineer (AI)

Location: US Headquarters, United States of America

Base salary: $165,000–$175,000 per year

Company

hirify.global develops AI vision processors for edge applications that extract data from high-resolution video streams.

What you will do

• Define and execute verification strategies and test plans for complex digital IP, subsystems, and SoCs.
• Architect reusable verification environments and lead verification of image-processing pipelines, video input, compression engines including CABAC, DSP blocks, processor cores, and neural-network accelerators.
• Develop constrained-random tests, reference models, assertions, scoreboards, and coverage models; drive functional and code coverage closure.
• Lead RTL and system-level debugging, develop automation tools, and improve simulation and regression efficiency.
• Use, enhance, and extend agentic AI workflows for test generation, coverage analysis, failure triage, debugging, and regression automation in collaboration with internal AI experts.
• Collaborate with architecture, RTL design, firmware, and software teams; mentor junior engineers and interns and provide technical leadership.

Requirements

• Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• Typically 5+ years of ASIC or SoC verification experience, or equivalent expertise.
• Deep knowledge of SystemVerilog, UVM, constrained-random verification, assertions, and coverage methodologies.
• Experience architecting complex verification environments and driving coverage closure.
• Strong understanding of digital design, computer architecture, and SoC integration.
• Advanced RTL and system-level debugging skills.
• Strong programming skills in C/C++ and Python.
• Experience with commercial simulation, debugging, and coverage tools.
• Ability to independently lead verification projects and collaborate across teams.

Nice to have

• Experience verifying complex video, image-processing, DSP, or AI accelerator SoCs.
• Knowledge of video compression, memory subsystems, and processor architectures.
• Hands-on experience with AI-assisted verification, LLMs, or agentic AI workflows.
• Experience improving verification automation, regression infrastructure, and simulation efficiency.
• Familiarity with AI agent frameworks and their integration into engineering workflows.
• Experience mentoring engineers and driving verification methodology improvements.
• Prior experience developing AI infrastructure is beneficial but not required.

Culture & Benefits

• Full-time position based at the US headquarters.
• Opportunity to convert to a full-time regular position.
• New-hire RSU grants and potential annual RSU grants.
• Other competitive benefits.
• Salary is determined by location, experience, and pay for similar positions.