Sr Deep Learning Verification Engineer

intel; Leixlip; On-site; EUR 77,000 - 120,000; Full time

Job summary

Intel seeks a Sr Deep Learning Hardware Verification Engineer to validate next-gen NPU silicon solutions. You will lead pre-silicon validation, architect verification environments, and develop test plans for Intel's AI accelerators.

Required skills include SystemVerilog, UVM/OVM, and strong collaboration across design, model, and AI architect teams. On-site Ireland Leixlip with flexible work balance options.

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.
• Fully proficient with SystemVerilog, VCS, UVM, OVM etc.
• Expertise in developing testbenches, test plans, and verification environments.
• Proven track record of signing off complex designs through coverage closure.

Responsibilities

• Functional Verification of complex digital design blocks on Intel's NPU AI accelerators.
• Architect, development and implementation of verification environments from planning to signoff.
• Development of test plans and test cases.
• Implementation of random test generators, BFMs, constraints, checkers and scoreboards.
• Implementation of software based test cases for functional and performance testing.
• Collaborate with cross-functional teams to address AI requirements and roadmap.

Skills

SystemVerilog

UVM/OVM

Testbenches

Leadership

Communication

Education

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

Tools

VCS

SystemVerilog Assertions

Git

CI practices

Formal verification tools

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.

Job Type:

Experienced Hire

Shift:

Shift 1 (Ireland)

Primary Location:

Ireland, Leixlip

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

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.