Sr Deep Learning Hardware Engineer (AI)

TL;DR

Sr Deep Learning Hardware Engineer (AI/Hardware): Validating NPU AI accelerator products with an accent on pre-Silicon functional, power, and performance verification. Focus on architecting verification environments, implementing test plans, and ensuring coverage closure for next-generation AI hardware.

Location: Hybrid (Leixlip, Ireland)

Salary: €76,900 - €142,100

Company

hirify.global is a global leader in semiconductor manufacturing, innovating AI hardware to enable breakthroughs in efficiency and scalability for devices and the cloud.

What you will do

• Perform functional and formal verification of complex low-power digital design blocks for NPU AI accelerators.
• Architect and implement verification environments from initial planning through the validation lifecycle to sign-off.
• Develop comprehensive test plans, test cases, and random test generators.
• Implement high-level transactional models, BFMs, functional constraints, checkers, scoreboards, and SVA properties.
• Collaborate with cross-functional teams to analyze and address next-generation AI requirements to influence the product roadmap.

Requirements

• Bachelor's degree in Electronic Engineering, Computer Engineering, Computer Science, or a related field.
• 8+ years of industry experience in pre-silicon validation of IPs, ASIC, SoC, or FPGA designs.
• Proficiency with industry-standard verification tools and methodologies including System Verilog, VCS, UVM, and OVM.
• Proven track record of signing off complex designs through coverage closure techniques.
• Must be based in or able to work hybridly in Leixlip, Ireland.

Nice to have

• Experience validating low-power and high-performance designs, specifically HW accelerators.
• Proficiency in System Verilog Assertions (SVA) and formal verification tools.
• Knowledge of SoC-based CPUs, NoCs, AMBA protocols, and memory controllers.
• Experience with C, C++, Python, Shell scripting, and TCL.
• Understanding of deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.

Culture & Benefits

• Competitive total compensation package ranking among the best in the industry.
• Hybrid work model allowing a split between on-site and off-site work to support work-life balance.
• Opportunity to shape the future of AI hardware engineering within a world-class innovation team.