Senior Computer Scientist

As the Senior Computer Scientist, you will be responsible for leading, designing, and performing detailed software development activities.

• Serve as internal resource on structured programming techniques for software systems.
• Lead program design reviews with customer.
• Responsible from the initial concept to design, coding, and testing to meet specifications.
• Perform analysis of algorithms and requirements for computational resources and architecture required.
• Lead a team to develop software systems, including the design, implementation and deployment of device drivers, kernel enhancements, and other essential system-level software.
• Lead a team to perform analysis, design, software development, and maintenance tasks for highly complex systems.
• Coach less experienced computer scientists and ensure adherence to design and coding standards and practices.
• Mentor and lead less experienced team members.
• Lead the development, test, and integration of code for new or existing software of significant complexity involving multiple teams.
• Remain abreast of all applicable technical advancements.
• Apply and adapt theoretical principles to develop new computer software and/or hardware solutions.
• Develop approaches to solve analytical problems and document methodologies

• 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 in secure coding practices.
• Proficient in database design principles and Structured Query Language (SQL).
• Proficient in agile framework and software development life cycle.
• Proficient in the developing testing strategies for components and/or applications.

• Proficient in Tensor Flow, 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
• Familiar with data manipulation, cleaning and analysis.
• Familiar with Oracle/SQL Server
• Knowledge of MLOps and tools like Docker and Kubernetes for product ionizing models
• Familiar with AWS, Google Cloud, or Azure for deploying, scaling and managing AI models