Junior Research Software Engineer

North Carolina State University

$90,000 - $100,000

United States, North Carolina, Raleigh

Sep 19, 2024

Posting Information

Posting Number	PG193667EP
Internal Recruitment	No
Working Title	Junior Research Software Engineer
Anticipated Hiring Range	$90,000 - $100,000
Work Schedule	Monday - Friday, 8am - 5pm Overtime as required to meet deadlines.
Job Location	Raleigh, NC
Department	Laboratory for Analytic Sciences
About the Department	The mission of the Laboratory for Analytic Sciences ( LAS) is to imagine, investigate, and implement innovative solutions for a variety of tactical and strategic analytic challenges. A government team with professional knowledge in STEM (Science, Technology, Engineering, and Mathematics), social, and behavioral disciplines, in collaboration with correspondingly diverse academic and industry partners, will create advanced technology and analysis tradecraft in accordance with the U. S. Intelligence Community to maintain global awareness and strategic foresight.
Essential Job Duties	This position would be responsible for carrying out the following tasks: Collaboration with government, industry, and academic partners to develop prototype applications to enhance analyst processes and products. This includes analyzing the feasibility of business requirements, conceiving innovative solutions, implementing ad-hoc solutions, and assisting the team on technical matters. Performs self-directed applied research transitioning ideas, theories, and methodologies published in academic journals into working prototypes. Sets up computing infrastructure to support analysis efforts. Performs data management tasks as necessary. This include items such as: Integrating data from various sources into a centralized, cohesive platform Cleaning and preprocessing data to ensure data quality and consistency for analysis Supporting database maintenance tasks, such as optimizing queries, managing data schemas, and ensuring data security. Document software code, development processes, and workflows to ensure knowledge transfer and maintainability Test and debug software applications to ensure proper functionality and meeting user requirements Assists with managing the LAS computing environment. Prototype software development Collaborating with government, industry, and academic partners Analyzing the feasibility of business requirements Designing (including UX and system architectures) and implementing full-stack software prototypes Transitioning ideas, theories, and methodologies published in academic journals into working prototypes. Documenting software code, processes, and workflows Integrating ML tools, 3rd party APIs, and data pipelines into prototype applications Testing and debugging software applications to ensure proper functionality Supporting Data Science and Machine Learning Working in collaboration with a multidisciplinary team Performing data processing tasks such as converting datasets between various complex schemas and managing inconsistent data formats Running, training, and/or evaluating machine learning models Supporting LAS computing infrastructure Setting up computing infrastructure to support analysis efforts and software development. Assists with managing the LAS computing environment and supporting research projects. Writing shell-level scripts and linux system administration
Other Responsibilities	Performs other relevant duties as assigned.

Qualifications

Minimum Education and Experience	Master's degree in engineering or computer science background and at least one year of relevant experience or a B.S in engineering or computer science background and at least two years of relevant experience Experience in architecting, designing, and building complex software systems Writing software in languages such as Python, Javascript, and/or Java Writing shell-level scripts and linux system administration Applicable knowledge of version control systems, issue tracking, and build systems Experience running, training, and/or evaluating machine learning models such as object detection, image classification, or large language models Experience in data processing tasks such as converting datasets between various complex schemas and managing inconsistent data formats
Other Required Qualifications	The successful Research Software Developer must be an analytical problem-solver, able to learn and integrate complex technical information quickly, convey complex technical concepts to others in English and in both verbal and written form, and have a strong commitment to quality and best engineering practices. Strong experience and proficiency with (1) compiled (e.g. C, C++, Java) and interpreted (e.g. PERL, Python, Ruby) programming languages, (2) structured data file format approaches such as XML or RDF, and (3) cloud and/or web-services technologies and tools, such as PHP, JSP, or SOAP is required. Analytical ability to study and assimilate technical structure, data, and requirements of an ongoing research effort developed by the project team. Demonstrated ability to work in a collaborative team within a dynamic, exploratory environment. Ability to work in a self-motivated manner with a minimal amount of supervision.
Preferred Qualifications	Experience with container technologies such as Docker Experience with virtualized environments such as Amazon's AWS Familiarity/Experience with rapid prototyping of software systems and solutions Experience with image, audio, or text processing Experience integrating ML models into software prototypes Experience working in a classified development environment Active security clearance is a plus The ideal candidate will have experience developing complex software in a team environment, have experience with game development and/or the development of artificial intelligences systems or web-based services, and have strong communication skills. Prior experience in industry or academic research projects is a strong plus. Both applicants with Ph.D.s and research experience and applicants without Ph.D.s but with industry experience are encouraged to apply.
Required License(s) or Certification(s)	N/A
Valid NC Driver's License required	No
Commercial Driver's License required	No

Recruitment Dates and Special Instructions

Job Open Date	09/18/2024
Anticipated Close Date	Open until filled.
Special Instructions to Applicants	Please include a cover letter, resume/CV, and contact information for professional references.

Position Details

Position Number	00111055
Position Type	EHRA Non-Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week)	1.00
Appointment	12 Month Recurring
Mandatory Designation - Adverse Weather	Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events	Non Mandatory - Emergency Event
Department ID	061801 - Lab for Analytical Sciences
AA/EEO	NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a representative at the Office of Institutional Equity and Diversity. If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu. Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit. NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.