- Intel
- Israel, South District
- Full-Time
- 3 days ago
Deep Learning System Validation Engineer: our view in 3 lines...
- The Role: An experienced engineer to validate and influence deep learning hardware and system designs for AI platforms and products.
- The Person: Design and execute deep learning hardware test plans, lead pre- and post-silicon validation and analysis, and work with product and customer-facing teams to validate performance and power data.
- Requirements: Bachelor's degree in Electrical Engineering or Computer Engineering, 7+ years' experience in board/system validation or board design, proficiency in board design and systems validation, and lab hands-on with high speed interfaces or power measurements.
Job Description
Job Details:
Job Description:
The Role and Impact
As a Deep Learning System Validation Engineer, you will play a pivotal role in shaping Intel's artificial intelligence strategy and product development. You will evaluate, develop, and communicate advanced hardware structures and interfaces that significantly accelerate deep learning hardware and software performance.
Key Responsibilities
- Develop and specify deep learning hardware test plans and interfaces that enhance AI systems performance.
- Lead pre- and post-silicon activities, including test flows, interface compliance, and analysis on AI platforms.
- Collaborate with product and design teams to define next-generation requirements and explore opportunities for innovation in AI system hardware.
- This position offers the opportunity to influence the AI product roadmap, develop cutting-edge systems innovations, and collaborate with a multidisciplinary team to drive advancements in model efficiency, and architecture.
- Your work will impact AI solutions deployed on device and in the data center, positioning Intel as a leader in artificial intelligence and machine learning technologies.
- Engage with customer-facing teams to analyze and validate deep learning product performance and power data.
Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field
- 7+ years of experience in board/system validation or board design
- Proficiency in board design and systems validation
- Strong problem-solving skills and systems engineering fundamentals
- Advanced experience in developing test plans, lab hands on with high speed interfaces or power measurements
Preferred Qualifications
- Familiarity with high speed interfaces' validation techniques
- Demonstrated ability to work closely with cross-functional teams, including customer-facing and design teams.
- Strong communication skills and ability to influence and guide product development in complex technical domains.
Job Type:
Experienced Hire
Shift:
Shift 1 (Israel)
Primary Location:
Israel, Haifa
Additional Locations:
Business group:
At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.
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
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.
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