Job Description

Job Description

Intel’s Habana Labs, a disruptive solutions developer, is shaping the future of AI and Deep Learning computing in the data center cloud and on-premise.

We are seeking a highly skilled and experienced Senior Verification Engineer to join our dynamic team and play a major role in ensuring the quality and functionality of our cutting-edge products for the AI industry.

This position is ideal for someone with a strong technical expertise and analytical skills, a passion for verification methodologies, who is also a natural team player.

Responsibilities

• Lead the development and implementation of comprehensive verification plans and strategies for complex hardware designs, ensuring alignment with industry best practices.
• Design, create, and oversee the maintenance of verification environments using advanced industry-standard tools and methodologies, mentoring junior engineers in the process.
• Write, execute, and review test cases to verify design functionality and compliance with specifications.
• Collaborate closely with design, architecture, and firmware engineers to deeply understand specifications, proactively identifying and addressing potential design flaws during the development process.
• Analyze verification results, derive insights, and effectively communicate findings and recommendations to stakeholders, contributing to strategic decision-making and project direction.
  
  

Qualifications

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• 10+ years of experience in VLSI chip Verification engineering, with a focus on high-end SoCs and AI applications.
• Strong proficiency in SystemVerilog, UVM, and other verification tools.
• Proven track record of executing and leading verification activities and delivering successful projects that meet demanding quality and performance targets.
• Excellent problem-solving, analytical, and communication skills, with the ability to effectively collaborate with cross-functional teams in a fast-paced environment.
• Strong mentorship skills to guide and inspire the team towards achieving exceptional performance.
• Experience with AI-specific performance benchmarks, NoC performance benchmark and optimization techniques – an advantage.
• Knowledge of system-level scenario analysis and modelling for high-performance SoCs – an advantage.
• Experience with scripting languages (e.g., Python, Perl) for automation and data analysis – an advantage.
  
  

Location: Tel Aviv / Caesarea

Inside this 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.

Other Locations

IL, Caesarea

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.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Working Model

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.