Sr Deep Learning Verification Engineer
Intel Open · verified Oct 22, 2026 At a glance
Senior Machine Learning Engineering role at Intel. Ireland, Leixlip · full-time · €76,900–€120,100 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Verify digital design blocks in NPU accelerators, checking their function before the hardware is produced
- Build verification environments from planning through validation, review and final signoff
- Create test plans, test cases, random generators, models, checkers and coverage measures
- Write software tests that assess NPU accelerator functionality and performance
- Work with design, model and AI architecture teams to address requirements and inform product planning
What you bring
- A bachelor's degree in electronic or computer engineering, computer science or a related discipline
- At least eight years validating IP, ASIC, SoC or FPGA designs before silicon production
- Strong command of SystemVerilog and standard verification methods, including VCS, UVM or OVM
- Experience building testbenches and verification environments, then closing coverage to sign off complex designs
Who this fits
This senior engineering role suits someone with deep pre-silicon verification experience who can own validation work and collaborate across technical teams. The position is based in Leixlip, Ireland, and requires on-site work.
From the employer
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 HireShift:
Shift 1 (Ireland)Primary Location:
Ireland, LeixlipAdditional 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 Trust
N/A
EU Salary
We 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 - €120,100.00

The 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.*