AI - Graph Analytics SW Engineer

Job description

Job Description

Intel is offering a unique opportunity for motivated researchers in the area of parallel and distributed computing. This will entail true co-design of leading-edge, large-scale applications in fields like graph analytics and AI and advanced HW/SW systems. The objective is to deliver significant advances in performance and energy efficiency. This is a full-time position with the advanced pathfinding team within Intel's Data Center group DCG.

In this position, you will be responsible for conceiving, researching, and prototyping new parallel and distributed computing algorithms and frameworks. Special emphasis will be on machine learning and graph analytics, and you will develop relevant software and hardware technologies which convert these into products and fuel Intel's growth. You will work in close collaboration with leading academic and industry partners to accomplish our mission. You will use your strong knowledge of scientific principles to identify and research promising technologies typically 3-5 years prior to product development.

You must have a good understanding of state-of-the-art techniques in parallel computing, machine learning, distributed computing, and optimization of algorithms, complemented by 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.

This requisition is part of the Data Center Engineering and Architecture Group (DEA)

Inside this Business Group

The Data Center Group (DCG) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Desired profile

Qualifications

Minimum Qualifications:

• PhD or MSc in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a relevant discipline
• 1-2 years of experience in the development of parallel and distributed computing algorithms and/or frameworks
• 1-2 years of experience in parallel programming

Preferred Qualifications:

• 1 year of experience in research related to high-performance sparse computations e.g., graphs, matrices, or tensors
• 1 year of experience in research related to machine learning, optimization, or a related topic

What we offer you:

We offer competitive benefits and pay, opportunities for professional development and the flexibility you need to achieve balance. Intel fosters a collaborative environment allowing the brightest minds in the world to come together to achieve exceptional results.

Besides regular duties you can:

• Participate in various innovation-focused activities innovation lab, collaboration events, and patent submissions writing.
• Have a chance to participate in Intel Great Place to Work program which gathers people who love running, cycling, squash, tennis, cross fit, photography, and many more.
• Relax during energetic team events skiing, scuba diving, kayaking, etc.
• Chill out with an unlimited amount of coffee, tea, and soft drinks