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AI & Big Data Software Engineer - Full-Time

Job in Columbia, Lexington County, South Carolina, 29228, USA
Listing for: IMDiversity
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    Software Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 49594 USD Yearly USD 49594.00 YEAR
Job Description & How to Apply Below

Software Engineer
University of South Carolina - Columbia, SC

Posting Number
STA
00552PO19

Classification Title
Systems Engineer I

Internal Title
Software Engineer

Campus
Columbia

Work County
Richland

College/Division
College of Engineering and Computing

Department
CEC Computer Science and Engineering

Band
7

Advertised Minimum Salary
$49,594

Advertised Salary Range
commensurate with education and experience

Location of Vacancy

Part/Full Time
Full Time

Hours per Week
37.5

Work Schedule

Standard working schedule: 8:30am – 5:00pm.

Must be willing to work a flexible schedule to meet the needs of the department.

Type of Staff Position
Research Grant (RGP)

Basis
12 months

Job Search Category
Other

About UofSC

The University of South Carolina System is comprised of the state's flagship university in Columbia (founded in 1801 and currently one of the top 50 "Best Colleges" according to U.S. News and World Report), three regional comprehensive universities (USC Aiken, USC Beaufort and USC Upstate), and Palmetto College consisting of four two-year campuses (USC Lancaster, USC Salkehatchie, USC Sumter, USC Union and Fort Jackson/Extended University).

Together, the USC System institutions offer more than 450 degree programs on campus and online and are uniquely positioned to meet the state's educational, cultural, health and research needs. The System employs nearly 14,000 people who work daily to improve the lives of students, fellow South Carolinians and the world. Our diverse engaged faculty and staff enjoy a dynamic and intellectually stimulating work environment.

Benefits for FTE, Research Grant or Time-Limited Positions Are Indicated Below

The University of South Carolina (UofSC), through the State of SC and Public Employee Benefit Authority (PEBA), offers employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the About Benefits section on the Applicant Portal .edu.
Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding.

Benefit Eligibility Type
Research Grant (RGP)

South Carolina Retirement
Yes

State Insurance Programs
Yes

Annual Leave
Yes

Sick Leave
Yes

Position Description

Advertised Job Summary

The successful candidate will be responsible for participating in a full cycle of software engineering duties in the areas of artificial intelligence and big data. These duties include: oral and written communication tools and techniques; technical training and tutorials, software development principles and methods for design, development, testing and implementation of new or modified software; commonly used languages, methods, algorithms and practices;

software validation and distribution tools; and technical writing and documentation practices.

Minimum Qualifications (Classified and Unclassified positions)

Master’s degree in engineering or engineering related field, or bachelor’s degree in engineering or engineering related field and 2 years related experience.

Preferred Qualifications

Experience with big data and scalable platforms, social media analysis, and deep learning of images. Demonstrated experience in full stack engineering and development of functionally rich tools.

Knowledge/Skills/Abilities

Programming:
Java, JavaScript, Python, Web App Framework (e.g., Django). Databases/Search:
Relational data stores, No

SQL and RDF data stores, SQL and SPARQL , Lucene and Elasticsearch,

Big Data, Cloud Computing and Virtualization Platforms:
Hadoop/Map Reduce, Apache Storm, Kafka, Redis, Virtualization solutions such as Open Stack/EC2.

Machine Learning/Deep Learning tools: at least one of:
Tensor Flow, PyTorch, Keras Other Technologies/Dev Ops:
Linux environment (esp.…

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