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# Senior ML Software Engineer [$290k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $290,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Business Logic, C++ (Programming Language), Nvidia CUDA, Continuous Integration, Python (Programming Language), Machine Learning, Software Deployment, Systems Architecture, Scripting, Delivery Pipeline, Kubernetes, Bug Reporting, TensorRT, Text Analysis, Docker, Golang
- **Published:** August 24, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9113589/senior-ml-software-engineer-290kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 14+ years
 * Total Compensation: $290k+ yearly

## Description

* Transition machine learning models from prototype to production inference services in Kubernetes environments.
 * Build robust CI/CD pipelines and optimize containerized services utilizing Python, Docker, and Triton Inference Server.
 * Apply multi-language development expertise in C++, Java, Go, and CUDA to deliver scalable analytics solutions., * Move video, image, speech, and text analytics (VISTA) models from prototype to production inference services in Kubernetes environments.
 * Build CI/CD and packaging around Python on NVIDIA Triton Inference Server with TensorRT execution providers and Business Logic Scripting (BLS).
 * Tune pipelines for maximum throughput and support them through system transition.
 * Collaborate cross-functionally with researchers and end users to understand requirements and align development efforts.
 * Review, test, and validate software components against system design requirements.
 * Create comprehensive documentation and establish deployment best practices.
 * Resolve system problem reports and contribute to system architecture, infrastructure-as-code, and hardware/software trade-offs.

Telework:
This position supports up to 25% telework with the remaining time performed on-site.


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