Job ID: JR0231595

Job Category: Software Engineering

Primary Location: Santa Clara, CA US

Other Locations:

Job Type: College Grad

Deep Learning SW engineer

Job Description

Conducts design and development to build and optimize AI software. Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and to contribute to external frameworks (e.g., TensorFlow, PyTorch). Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks. Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries. Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams. Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.

Qualifications

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.

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

Minimum Qualifications:

• Masters Degree in Mathematics, Physics, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Computational Science or related technical discipline.

• 2+ years of experience in Deep Learning algorithm development.

• 2+ years of working knowledge in DL models for vision or NLP and recommendation systems.

• 2+ years of experience with DL frameworks (PyTorch/TensorFlow).

• 2+ years of development with Python.

Preferred Qualifications:

• 2+ years of Performance Analysis and modeling experience.

• Language and fundamental skill experience with at least one of the following languages, Python, C/C++ or Assembly language.

• Computer architecture

• Experience with Ninja coding

• Machine learning

• 2 years experience in data analysis, in image/video, natural language, statistic data or other fields.

• Experience in deep learning frameworks such as Pytoch, TensorFlow, MXNet, etc.

• Experience with performance for one of the frameworks is a plus.

• Experience with new model on one of the frameworks is a plus.

• Experience with porting a model from one framework to another is a plus.

• Have used the existing model to improve state-of-art of the empirical problems is a plus.

• Familiar with deep learning algorithms and models.

• Excellent development and debugging skills.

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. 

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

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.

Work Model for this Role

This role is available as fully home-based and generally would require you to attend Intel sites only occasionally based on business need.

USCollege GradJR0231595Santa ClaraMachine Learning Performance (MLP)