Sr Deep Learning Verification Engineer

Intel Corporation; Leixlip; Remote; EUR 77,000 - 120,000; Full time

Job summary

Intel Corporation in Leixlip, Ireland is seeking a Sr Deep Learning Hardware Verification Engineer to validate NPU IP silicon and drive pre-silicon validation. You will design verification environments, develop test plans, and implement BFMs and SVA properties to ensure robust AI accelerators.

You will collaborate across design, model, and AI architecture teams, shaping the AI hardware roadmap while balancing performance, power, and reliability.

Qualifications

• Bachelor's degree in Electronic, Computer Engineering, Computer Science or a related field.
• 8+ years of relevant industry experience in pre-silicon validation of IPs, ASIC, SoC, or FPGA designs.
• Proficiency with verification tools and methodologies: SystemVerilog, VCS, UVM/OVM.

Responsibilities

• Functional verification of complex digital designs in Intel's NPU AI accelerators.
• Architect, develop and implement verification environments from planning to signoff.
• Develop test plans and test cases; implement random test generators, BFMs, coverpoints/covergroups and SVA properties.
• Collaborate with cross-functional teams to address AI requirements and roadmap.

Skills

Leadership

Communication

Problem solving

Education

Bachelor's degree in Electronic, Computer Engineering, CS or related field

Tools

SystemVerilog

VCS

UVM

OVM

Git

Job description

# **Job Details:**## Job Description:**The Role and Impact** As a Sr Deep Learning Hardware Verification Engineer, you will play a pivotal role in shaping the future of AI hardware by validating and optimizing next-generation NPU silicon solutions. In this role you will join the NPU Hardware Pre-Silicon Validation team working closely with design engineers, model engineers and AI architects to validate components of the next generation NPU IP portfolio, your contributions will directly shape Intel's advancements in AI technologies. Your responsibilities will include: • Functional Verification of complex digital design block(s) on the latest generations of Intel's NPU AI accelerators. • Architect, development and implementation of verification environments from initial planning through the validation lifecycle to review and signoff. • Development of test plans and test cases. • Implementation of random test generators, high level transactional models, bus functional models (BFMs), functional/formal constraints, checkers and scoreboards, coverpoints/covergroups and SVA properties. • Implementation of software based testcases for functional and performance based testing of the NPU AI accelerators. • Collaborate with cross-functional teams to analyses and address next-generation AI requirements, influencing the AI product roadmap. Leixlip is the primary location for this position, however, we offer some flexibility to support your work/life balance arrangements. **Business group** The Artificial Intelligence and Deep Learning team drives innovation in AI hardware development, aligning with Intel's mission to deliver world-class solutions in the AI domain. With a focus on building state-of-the-art hardware that supports cutting-edge AI models, the team collaborates across Intel to enable breakthroughs in efficiency, scalability, and performance for AI workloads on devices and in the cloud. Join us to be part of a group that defines the future of AI hardware engineering.## **Qualifications:****Minimum Qualifications** - Bachelor's degree in Electronic, Computer Engineering, Computer Science or a related field. - 8+ years of relevant industry experience, in pre-silicon validation of IP's, ASIC, SoC, or FPGA designs. - Fully proficient with industry standard verification tools and methodologies (System Verilog, VCS, UVM, OVM etc). - Expertise in developing testbenches, test plans, and functional/formal verification environments. - Proven track record of signing off complex designs through coverage closure and related techniques. - A self-starter with good communication and interpersonal skills. - Proven ability to collaborate in diverse team environments and take on leadership roles. - Strong problem-solving skills and ability to adapt to a fast-paced, innovative environment. **Preferred Knowledge** - Experience with C-based Software driver development and testing. - Experience with validating low power and high performance designs, HW accelerators being a major plus. - Proficiency in System Verilog Assertions. - Experience with formal verification techniques and tools. - Knowledge of Git and Continuous Integration (CI) practices. - Established knowledge of SoC based CPUs, NoCs, AMBA protocols, and memory controllers. - Understanding of deep learning techniques and experience working with frameworks such as TensorFlow, PyTorch, or OpenCV is an advantage. - Passion for exploring and AI techniques, tools and flows to aid in faster validation closure. We invite you to bring your expertise and creativity to a team that is shaping the future of AI hardware solutions. Apply today and join Intel's journey to transform the landscape of artificial intelligence innovation.## Job Type:Experienced Hire## Shift:Shift 1 (Ireland)## Primary Location:Ireland, Leixlip## Additional Locations:## Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.## ## Position of TrustN/A## EU SalaryWe offer a total compensation package that ranks among the best in the industry.Annual Salary Range for this job which could be performed in Ireland is: €76,900.00 - €120,100.00The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.**Work Model for this Role**This role will require an on-site presence. \\* Job posting details (such as work model, location or time type) are subject to change.