Mercer Engineering Research Center · 4 months ago
Senior Computer Scientist
Warner Robins, GA 31088-7810
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expMercer Engineering Research Center (MERC) is a research institute of Mercer University that provides high-quality engineering, scientific, and technical support services. As the Senior Computer Scientist, you will lead, design, and perform detailed software development activities while mentoring less experienced team members and ensuring adherence to coding standards.
IndustrialLogisticsMechanical EngineeringNon Profit
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Serves as internal resource on structured programming techniques for software systems
Leads program design reviews with customer
Responsible from the initial concept to design, coding, and testing to meet specifications
Performs analysis of algorithms and requirements for computational resources and architecture required
Responsible for leading a team to develop software systems, including the design, implementation and deployment of device drivers, kernel enhancements, and other essential system-level software
Demonstrates proficiency in multiple software languages and operating systems
Responsible for leading a team to perform analysis, design, software development, and maintenance tasks for highly complex systems
Responsible for coaching less experienced computer scientists and ensuring adherence to design and coding standards and practices
Demonstrates the ability to mentor and lead less experienced team members
Leads the development, test, and integration of code for new or existing software of significant complexity involving multiple teams
Remains abreast of all applicable technical advancements
Applies and adapts theoretical principles to develop new computer software and/or hardware solutions
Develops approaches to solve analytical problems and documents methodologies
Complies with all Executive Director approved MERC-wide policies and procedures
Adheres to approved MERC MSP quality management policies and principles and promotes an attitude of commitment to continuous quality improvement
Ensures thorough familiarity and awareness of all MERC core capabilities and remains alert for any opportunities to promote MERC capabilities and interests to customers and potential customers
Submits suggestions for new business opportunities or report identified customer problems or opportunities to the Director of Acquisition Strategy through a Chief Engineer/Technical Director
Qualification
Required
US Citizenship is required
Ability to obtain and maintain a DoD Security Clearance
An undergraduate degree in computer science and 9 years of directly related experience; a Master's degree in same and 8 years of directly related experience; or a Ph.D. degree in same and 3 years of directly related experience
3 years of technical lead responsibility
Ability to obtain certification in accordance with DoD 8140 series requirements
Proficient using Python, Java, JavaScript, J-Query, C#, and Dot.NET frameworks including MVC, Web Forms, and/or Dot.NET core
Proficient using secure coding practices
Proficient using database design principles and Structured Query Language (SQL)
Proficient using the agile framework and software development life cycle
Proficient in the development of testing strategies for components and/or applications
Preferred
Proficiency in TensorFlow, PyTorch, or similar libraries
Experience building, fine tuning, and deploying advanced models (e.g., LLMs, computer vision, recommendation systems)
Designing scalable AI pipelines, integrating data ingestion, model training, and production deployment
Familiarity with CI/CD for models and model versioning
Skilled in feature engineering, handling large datasets, and applying vector databases for semantic search
Ability to interpret state of the art AI research and implement findings in production systems
Understanding of model explainability, bias mitigation, and ethical AI practices
Strong communication skills to work with cross functional teams and mentor junior engineers in AI practices
Familiarization with data manipulation, cleaning and analysis
Familiarity with Oracle/SQL Server
Knowledge of MLOps and tools like Docker and Kubernetes for productionizing models
Candidate should be familiar with AWS, Google Cloud or Azure for deploying, scaling and managing AI models
Benefits
Health and dental insurance
Retirement
Tuition reimbursement
Vacation/sick leave accrual
Holiday pay
Comprehensive health insurance (for self and dependents)
Generous retirement contributions
Tuition waivers
Paid vacation and sick leave
Technology discounts
Schedules that allow for work-life balance
Company
Mercer Engineering Research Center
Mercer Engineering Research Center is a non-profit engineering and technology services provider company.
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase