Sr Deep Learning Verification Engineer (AI Hardware)

Location: Leixlip, Ireland; on-site presence required

Salary: €76,900–€120,100 annual base salary

Company

AI and deep learning engineering work focused on developing hardware solutions for advanced AI workloads across devices and the cloud.

What you will do

• Perform functional verification of complex digital design blocks in next-generation NPU AI accelerators.
• Architect and implement verification environments from planning through validation, review, coverage closure, and signoff.
• Develop test plans, test cases, random test generators, transaction-level models, BFMs, constraints, checkers, scoreboards, covergroups, and SVA properties.
• Implement software-based functional and performance test cases for NPU AI accelerators.
• Collaborate with design engineers, model engineers, AI architects, and cross-functional teams to address AI requirements and influence product roadmaps.

Requirements

• Bachelor’s degree in electronic engineering, computer engineering, computer science, or a related field.
• 8+ years of relevant industry experience in pre-silicon validation of IP, ASIC, SoC, or FPGA designs.
• Advanced proficiency with SystemVerilog and industry-standard verification methodologies and tools, including VCS, UVM, and OVM.
• Experience developing testbenches, test plans, and functional or formal verification environments.
• Proven ability to sign off complex designs through coverage closure and related techniques.
• Strong communication, problem-solving, collaboration, and leadership skills.

Nice to have

• Experience with C-based software driver development and testing.
• Experience validating low-power, high-performance designs and hardware accelerators.
• Knowledge of SoC-based CPUs, NoCs, AMBA protocols, and memory controllers.
• Experience with TensorFlow, PyTorch, or OpenCV and an understanding of deep learning techniques.
• Knowledge of Git and continuous integration practices.

Culture & Benefits

• Work with a team developing hardware for cutting-edge AI models and workloads.
• Collaborate across disciplines in a fast-paced and innovative environment.
• Some flexibility is available to support work-life balance arrangements, while the role requires on-site presence.
• Total compensation includes base salary and may include additional pay components and benefits.