Silvus Technologies

About the Company

Silvus Technologies was acquired by Motorola Solutions in 2025, and is now part of its ecosystem of safety and security technologies. With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data. About Motorola Solutions | Solving for safer Safety and security are at the heart of everything we do at Motorola Solutions. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Learn more about our commitment to innovating for a safer future for us all at www.motorolasolutions.com.

Listed Jobs

Company Name

Silvus Technologies

Job Title

Machine Learning Engineer

Job Description

Job title: Machine Learning Engineer Role Summary: Design, develop, and deploy machine learning solutions to enhance wireless communication performance in MIMO radio and mesh networking systems. Expactations: Deliver ML algorithms that improve link adaptation, interference mitigation, anomaly detection, and spectrum sensing. Integrate models into radio firmware and networking stack, benchmark performance, and iterate for operational environments. Key Responsibilities: • Research and implement supervised/unsupervised ML for RF signal analysis. • Build data pipelines for training, validation, and testing on real‑world RF datasets. • Prototype software and integrate models with embedded firmware and networking layers. • Collaborate cross‑functionally to define use cases and measure model impact. • Benchmark performance, optimize models for edge hardware, and refine for dynamic RF scenarios. Required Skills: • 3+ years ML experience (1+ year if PhD). • Strong knowledge of supervised/unsupervised learning, statistical modeling, and signal processing. • Python (TensorFlow, PyTorch, scikit‑learn) proficiency. • MATLAB or C/C++ for algorithm development. • Understanding of wireless concepts (PHY/MAC, MIMO, OFDM, SDR). • Ability to work with GPU acceleration and model optimization for constrained devices. Required Education & Certifications: • M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field. • U.S. Government SECRET clearance or eligibility to obtain within 12 months. • U.S. citizenship required.

Los angeles, United states

Hybrid

Junior

18-03-2026