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Job Description
Key Responsibilities
- Leads design, analysis, and implementation of componentlevel choices across the integrated AI systems on performance, features, and cost, including analysis of risks and emphasis on ease of use, reliability, security, availability, maintainability, sustainability, and quality.
- Defines systems implementation and integration approach and plans to ensure optimum performance and reliability across hardware and software that comprise the system.
- Delivers end to end technical solutions to solve customer problems, deploying solutions, executing benchmark tests, and preparing documentation. Conducts analysis and makes reliable engineering recommendations to ensure reliability/resiliency of the AI infrastructure.
- Monitors and reports on utilization and plans continuous process improvement.
- Collaborates with other teams to analyze next generation requirements and opportunities and may influence and guide research and academic collaboration in the space of cloud systems and solutions, including proof of concept and solutions beyond current industry approaches.
- Contributes applied/customer knowledge to AI roadmap working with AI system architects.
- Simulates real life environments in the cluster environment and analyzes performance of prototypes
Qualifications
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Master's Degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or related STEM field 1+ years of experience in 1 or more of the following:
- AI Systems and Solutions
- Foundational knowledge of deep learning and machine learning algorithms, frameworks, and models.
- Proficiency in programming languages such as Python, C++, or similar.
- Familiarity with AI software tools and platforms, including TensorFlow or PyTorch.
- Understanding of systems integration, hardware/software components, and development lifecycles.
Join us at Intel to contribute to technological advancements while building a rewarding and impactful career. Apply now to be a part of our extraordinary journey.
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Posting Statement
Benefits
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.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Not included in the source posting: about the role.
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