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Graduate Intern Technical

Bengaluru, India Job ID JR0207141 Job Category Intern/Student Work Mode Hybrid Experience Level Intern
Job Description
The mission of Intel Labs is to drive technology leadership for Intel. This includes coordinating research and development among several business groups and aligning Intel's strategies and technologies with future industry needs. The Emerging Systems Lab (ESL) in the Systems, Software and Architecture Research (SSA) Group in Intel Labs driving exciting research to identify innovative systems technologies and capabilities for end-to-end (edge to cloud) infrastructure. The Cloud Systems Research (CSR) within ESL driving breakthrough intelligent infrastructure and systems research, innovating novel AI/DL, data management, media, and graphics technologies. Our research focus includes a) scalable and distributed intelligent visual infrastructure b) Acceleration and cross-domain optimization technologies for system efficiency c) AI automation for developer productivity. The CSR team is looking for a graduate research intern with a strong RL, Bayesian and other optimization algorithm background development of prototypes and proofs of concept for novel applications and influence future HW/SW architectures for Intel's data centric product and technology roadmap. The candidate will have the opportunity to work collaboratively with a great team of researchers.
Qualifications
� Current student pursuing a BS/MS or a Ph.D. program in CS, CE, EE, CSE or related discipline. � Research experience obtained through your educational level research and/or relevant job/internship experiences. � Experience developing and utilizing prototyping to establish and answer a research question � Familiarity with large-scale search space optimization methodologies, AutoML, Bayesian Optimizations � 2 years of experience with Python, C/C++, PyTorch, MATLAB programming language � Familiarity with computer architecture concepts Preferred Qualifications (one or more): � Experience with AI Frameworks (e.g. TensorFlow, Caffe, etc.) or visual data processing libraries (e.g. OpenCV) � Experience in optimizing AI algorithm (e.g. Deep Learning, Reinforcement Learning) or mapping on accelerators. � Experience with visual data collection, labeling and designing algorithms for visual analytics � Experience with distributed system, database development, graph database. � Experience with alternative representation using generative networks or hyperdimensional computing � Familiarity with workload characterization and HW performance modeling. � Experience with domain specific language such as Halide, MLIR, etc. The ideal candidate should exhibit behavioral traits that indicate: � Excellent interpersonal and communications skills � Demonstrated attention to detail and can take direction and follow-through on assignments
Inside this 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.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

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.

Working Model
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.
Maggie, Offensive Security Researcher

Maggie Offensive Security Researcher

“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”

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