Intel Labs Off Campus Drive 2022 | Graduate Intern Technical. Eligible and interested candidates can apply online from given below link. Keep visiting our website for latest Jobs In Bangalore.
| Company Name | Intel Labs |
| Job Position | Graduate Intern Technical |
| Experience | Freshers |
| Qualification | Master Degree |
| Job Location | Bangalore |
| Employment Type | Full Time |
| Date Of Joining | Immediate Joiners |
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About Intel Labs: 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.
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Intel Labs Off Campus Drive 2022 Position Description:
- Parallel Computing Labs (PCL)-India (part of Intel Labs) is looking for motivated researchers in the area of parallel and distributed computing research 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, and benchmarking, along with a strong understanding of computer architecture. You must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.
Eligibility Criteria For Intel Labs Off Campus Drive 2022:
- Enrolled in a Master Degree in Computer Science/Computer Engineering, related technical field or equivalent practical experience
Skills Required For Intel Labs Off Campus Drive 2022:
Qualifications:
- Enrolled in a Master Degree in Computer Science/Computer Engineering, related technical field or equivalent practical experience
- Experience in Deep Learning, Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimizations, Machine Intelligence, Data Mining (Artificial Intelligence)3) Perform Performance Analysis of Distributed Architectures for Outrageously Large Deep Learning Workloads
- Explore innovative methods of parallelizing these workloads for cost-benefit objectives
- Explore HW/SW Optimizations at Component, Network (Scale-Up/Scale-Out) and System Level
- Programming experience and proficiency in C, C++, python
Salary:
- Not Mentioned
Last Date To Apply: Apply As Soon As Possible
Apply Here: Click Here
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