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# Software Engineer [$305k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Salary:** $305,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Systems Engineering, C++ (Programming Language), Software Documentation, Nvidia CUDA, Computer Programming, Data Flow Control, Python (Programming Language), Machine Learning, Software Engineering, Software Systems, Data Streaming, Reliability of Systems, Integration Tests, Infrastructure Automation Frameworks, Terraform, Golang, Programming Languages
- **Published:** July 17, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9034095/software-engineer-305kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 14+ years
 * Salary: $305k+ yearly compensation

## Description

* Lead the development, maintenance, and enhancement of advanced software systems.
 * Conduct algorithm development, software testing, requirements analysis, and database engineering.
 * Guide software development teams, fostering collaboration with hardware and systems engineers.
 * Develop comprehensive software and system documentation.
 * Apply expertise in Machine Learning/Artificial Intelligence, cloud platforms, and various programming languages., * Lead the full lifecycle development, maintenance, and enhancement of complex software systems.
 * Design and implement advanced algorithms for various applications.
 * Conduct comprehensive software and integration testing to ensure system reliability.
 * Perform in-depth requirements analysis for new and existing software solutions.
 * Engineer and manage robust database solutions.
 * Lead and mentor software development teams, guiding technical direction and best practices.
 * Collaborate effectively with hardware and systems engineering teams to integrate solutions.
 * Develop clear and concise software and system documentation.
 * Apply expertise in Machine Learning and Artificial Intelligence to solve complex problems.
 * Utilize infrastructure-as-code tools such as Terraform.
 * Leverage cloud platforms, specifically AWS, for scalable deployments.
 * Demonstrate proficiency in programming languages including C++, Python, and Go.
 * Develop high-performance computing solutions using CUDA.
 * Implement and manage Streaming Analytics pipelines.
 * Possess strong skills in dataflow management and technical communication.
 * Apply mathematical principles relevant to software engineering and algorithm development.


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