Hiring Organization: IBM
Job Title: 2023 Intern Conversion: Research Scientist-Hybrid Cloud
Country/Region: US
State: MULTIPLE
City: Multiple Cities
Category: Research
Required Education: Doctorate Degree
Position Type: Entry Level
Employment Type: Full-Time
Contract Type: Regular
Company: (0147) International Business Machines Corporation
Req ID: 591153BR
Travel Required: No Travel
Introduction:
IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today’s most complex challenges, whether it’s discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.
Your Role and Responsibilities:
This position is intended for candidates who previously participated in a 2022 IBM internship.
We are seeking Research Scientist candidates with demonstrated publication records in one or more of our focus areas and technical leadership potential. As part of the IBM Research team, you will conduct world-class research on innovative technologies and solutions and publish in top-tier conferences and journals. You will also can contribute to the commercialization of the resulting assets. Demonstrated communication skills and ability to work independently, as well as in a team, are highly desired traits.
You should have one or more of the following skills:
-Cloud computing infrastructure, including: cloud platform and programming models; cloud infrastructure services; APIs; containers; DevOps techniques; microservices
-Computing and data services, including emerging platforms (Spark, SQL/NoSQL, Blockchain)
-Artificial intelligence computing infrastructure, including deep learning platform and services, accelerated cognitive systems, accelerators interface architecture, compilers and programming models, co-designed hardware/software
-Distributed computing theory and application, systems; services technology, including service management, analytics, automation and orchestration, cognitive services
-Memory controller architecture, memory performance modeling, memory standards and interfaces, cache design, non-volatile memory, NAND flash
You must be willing to work in any of the following locations: Albany, NY; Cambridge, MA; San Jose, CA; Yorktown Heights, NY. PhD degree in Engineering, Computer Science, Physics or a related area is required.
Required Technical and Professional Expertise:
- Ability to work in a team environment, as well as independently
- Cloud computing
- Proven research experience
Preferred Technical and Professional Expertise:
- Advanced knowledge in one or more of the following areas:
- Cloud computing infrastructure, including cloud platform and programming models; cloud infrastructure services; APIs; containers; DevOps techniques; microservices
- Computing and data services, including emerging platforms (Spark, SQL/NoSQL, Blockchain)
- Artificial intelligence computing infrastructure, including deep learning platform and services, accelerated cognitive systems, accelerators interface architecture, compilers and programming models, co-designed hardware/software
- Distributed computing theory and application, systems; services technology, including service management, analytics, automation and orchestration, cognitive services
- Memory controller architecture, memory performance modeling, memory standards and interfaces, cache design, non-volatile memory, NAND flash
- Demonstrated written and verbal communication skills
Application Link:
