Deep Learning Verification Engineer Full-time

Job Details:

Job Description:

We are seeking a highly skilled and experienced Full Chip Verification Architect to lead the verification efforts for our complex System-on-Package (SoP) used for AI.

The ideal candidate will possess strong technical expertise, exceptional leadership skills, and a proven track record of delivering successful verification projects.

Office location: Tel Aviv / Caesarea.

Qualifications:

Responsibilities:

• Verification Planning: Develop comprehensive verification plans, including testbench architecture and test strategies.
• Methodology Development: Define and implement verification methodologies and best practices across different verification levels (block, SoC, SoP).
• Toolchain Selection: Evaluate and select appropriate verification tools (e.g., Direct, UVM, Formal, Emulation) based on project requirements and team expertise.
• Team Coordination: Collaborate with architecture, design engineers, verification engineers, validation, and software teams to ensure effective verification coverage and efficient resource allocation.
• Emulation Strategy: Develop and oversee the emulation strategy, working closely with software teams to ensure seamless integration and validation.
• Verification Coverage: Establish and track verification coverage metrics to ensure thorough testing of the SoC.
• Track and manage IP-related bugs, working with design and verification teams to ensure timely resolution.
• Mentorship and Training: Provide guidance and training to team members on verification methodologies, tools, and best practices.

Requirements:

• 10+ years of experience in VLSI chip verification, with a focus on complex SoCs.
• Proven track record of leading verification teams and delivering successful projects.
• Strong technical expertise in verification methodologies (e.g., UVM, OVM), formal verification, and emulation.
• Experience with industry-standard verification tools (e.g., VCS, Jasper).
• Excellent problem-solving, analytical, and communication skills.
• Ability to work effectively in a fast-paced and collaborative environment.
• BSc in Electrical Engineering, Computer Engineering, or a related field, MSc – an advantage.

• Experience with AI-specific verification challenges and techniques – an advantage
• Knowledge of system-level verification and performance analysis – an advantage
• Experience with scripting languages (e.g., Python, Perl) for automation – an advantage

Job Type:
Experienced Hire

Shift:
Shift 1 (Israel)

Primary Location:
Israel, Petah-Tikva

Additional Locations:

Business group:
The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies-spanning software, processors, storage, I/O, and networking solutions-that fuel cloud, communications, enterprise, and government data centers around the world.

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
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.