Candidate is responsible to verify and guarantee the quality of machine learning products for generic purposes or common use in a certain domain-specific field. This job is responsible to ensure the functionality and performance of machine learning software stacks on Intel platforms, triage the functionality and performance issues, as well as the out-of-box customer experience. In this position, you will have chance to collaborate with diversified teams on full-stack machine learning optimization and explore the most advanced Intel hardware platforms.

The job scope may include:

ESSENTIAL RESPONSIBILITIES

• Qualification, setup and release of various Intel Optimized Deep Learning software on CPU and GPU for data center products.
• Automation of existing and new validation activities and inspection systems.
• Monitoring functionality and performance and quickly triage problems.
• Development test cases and tools to continuously improve the test coverage for Deep learning Software products.
• Updating and maintaining documentation and BKC for of performance measurement per engineering changes.
• Working with cross-functional teams to implement innovative solutions to internal and external customers.

Behavioral Traits:

• Motivated team-player who is excited about learning new skills and taking on a wide range of projects and challenging assignments.
• Ability to communicate effectively both verbally and in writing in English

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.

You must possess the below minimum qualifications 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.

Minimum Qualifications:

Bachelor or Masters in Computer Science or Data Science or Human Factors Engineering, software engineering or mathematics or computational science or cognitive science or a related technical discipline ("Cedula Profesional" may be required) and should be knowledgeable (3+ months of experience) in the following areas:

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

Preferred Qualifications:

• Hands-on experience using of Deep learning frameworks or toolkits like, TensorFlow, PyTorch, ONNX, OpenVino;
• Programming Languages and platforms like Python, bash; C/C++ programming skill
• Experience in CI/CD and automation, experience in Jenkins, Groovy etc.
• Experience in agile methodologies and understanding of software development lifecycle

Requirements listed would be obtained through a combination of industry-relevant job experience, internship experiences and or school work/classes/research.

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.