Our team develops software for Big Data and Machine Learning and one of them is a modular platform for distributed data analytics software.
The platform is responsible for parallel execution of the software on single CPU node and further distribution on cluster and/or in a cloud with minimum changes in the software.
Candidate will participate in developing of different parts of the platform such as user public API, distributed execution engines (incl. GPU), support for cloud execution, interacting with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.

Qualifications

Expert level of Python knowledge,
High level of expertise in Python-based data analytics libraries (eg pandas)
Experience in different distributed execution frameworks (eg Ray)
Fluency in Docker, Kubernetes

Additional qualifications will be a great advantage:
Experience with Numpy
Experience with cloud frameworks
C/C++

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. 

Other Locations

US, Texas, Austin

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 will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.