Job Details:

Job Description: 

Parallel Computing Labs (PCL)-India (part of Intel Labs) is looking for motivated researchers in the area of parallel and distributed computing research and computer architecture applied towards Artificial Intelligence, Deep Learning and High-Performance computing. In this position, you will be responsible for investigating relevant software and hardware techniques with the goal of converting these into products and fueling Intel's growth. This requires a good understanding of state-of-the-art techniques in parallel computing, machine learning, distributed, architecture specific optimization of algorithms, benchmarking, and computer architecture. You must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.

Qualifications:

Qualification: 1) Enrolled in a Master or Doctoral Degree in Computer Science/Computer Engineering, related technical field or equivalent practical experience 2) Experience in Deep Learning, Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimizations, Machine Intelligence, Data Mining (Artificial Intelligence) 3) Architecture and performance analysis of Deep Learning Workloads 4) Explore HW/SW co-optimizations. 5) Programming experience and proficiency in C, C++, python

          

Job Type:

Student / Intern

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

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.

Position of Trust

N/A

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. In certain circumstances the work model may change to accommodate business needs.

Legal Disclaimer:

It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews.   We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements.