Software Engineer - TS/SCI Poly required

Emtak • Govt R&E, MD

1d

About The Position

DevOps Engineering : ● Design, implement, and maintain DevOps pipelines for C++ or Python applications, utilizing Kubernetes/K8 deployment and administration, Helm chart creation, and pod definition. Kubernetes Administration: ● Manage and configure Kubernetes clusters, ensuring high availability, scalability, and security. Debugging and Defect Correction : ● Identify, debug, and correct defects in existing software, utilizing effective troubleshooting techniques to resolve issues efficiently. GPU Configuration and Support: ● Configure and optimize GPU resources for performance-critical applications, utilizing CUDA or other relevant technologies. Automated Testing and Deployment: ● Implement automated testing and deployment scripts, utilizing tools such as Jenkins or GitLab CI/CD. Collaboration : ● Work closely with cross-functional teams, including system architects, and project managers, to ensure software meets user requirements and is delivered on schedule. Documentation: ● Maintain comprehensive documentation for software designs, processes, and interfaces to facilitate knowledge sharing and project continuity.

Requirements

• Experience with GPU/CUDA development for performance-critical applications.
• Familiarity with message queue implementation and communication protocols.
• Knowledge of Linux system programming and development environments.
• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Adaptability and a commitment to continuous learning and improvement.

Nice To Haves

• Understanding of RF signals analysis or satellite communications system design and theory.

Responsibilities

• Design, implement, and maintain DevOps pipelines for C++ or Python applications, utilizing Kubernetes/K8 deployment and administration, Helm chart creation, and pod definition.
• Manage and configure Kubernetes clusters, ensuring high availability, scalability, and security.
• Identify, debug, and correct defects in existing software, utilizing effective troubleshooting techniques to resolve issues efficiently.
• Configure and optimize GPU resources for performance-critical applications, utilizing CUDA or other relevant technologies.
• Implement automated testing and deployment scripts, utilizing tools such as Jenkins or GitLab CI/CD.
• Work closely with cross-functional teams, including system architects, and project managers, to ensure software meets user requirements and is delivered on schedule.
• Maintain comprehensive documentation for software designs, processes, and interfaces to facilitate knowledge sharing and project continuity.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed