Designs, develops, integrates, tests, validates, and/or debugs software to enable Intel product features to enable or utilize Artificial Intelligence, including machine learning and deep learning. Understands internal and external partner software and develops software across the stack (spanning firmware, drivers, OS, middleware, frameworks, algorithms, and applications) as required to enable and optimize specific AI features, capabilities, solutions, reference platforms, or Intel products. May include the development of reference AI software and improving or enabling customer designs to obtain the greatest value of Intel AI products, the development and/or optimization of workloads for AI benchmarks, and workloads for simulation to support preSi power and performance analysis and architecture recommendations.

Qualifications

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.

Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences

Minimum Qualifications:
Bachelor or Master degree in Computer Science, Data Science, Human Factors Engineering, Software Engineering, Mathematics, Computational Science, Cognitive Science or a related technical discipline ("Cedula Profesional" may be required) and be knowledgeable (3+ months of experience) in the below areas:

• Machine learning, data mining, and information retrieval or natural language processing
• Machine learning and deep learning algorithms
• Software tools and libraries design
• Algorithms and data structures
• Python, C and/or C++
• Software development on Linux
• Diagnose technical problems, debug code, and automate routine tasks

Preferred qualifications:

• Experience with AI frameworks like TensorFlow and PyTorch
• Expertise in probability distributions, hypothesis testing, and regularization
• Agile software development
• Linux development tools

Inside this Business Group

The Machine Learning Performance (MLP) division is at the leading edge of the AI revolution at Intel, covering the full stack from applied ML to ML / DL and data analytics frameworks, to Intel oneAPI AI libraries, and CPU/GPU HW/SW co-design for AI acceleration. It is an organization with a strong technical atmosphere, innovation, friendly team-work spirit, and engineers with diverse backgrounds. The Deep Learning Frameworks and Libraries (DLFL) department is responsible for optimizing leading DL frameworks on Intel platforms. We also develop the popular oneAPI Deep Neural Network Library (oneDNN), and new oneDNN Graph library. Our goal is to lead in Deep Learning performance for both the CPU and GPU. We work closely with other Intel business units and industrial partners. 

Work Model for this Role

This role will require an on-site presence.