Associate Engineer, Machine Learning

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. 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. Connect with a career that matters, and help us build a safer future.

Department Overview

Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications - on the ground, in the air and  battle-proven Stream Caster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments.

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.

Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.

Job Description

Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "Keeping Our Heroes Connected"?

THE OPPORTUNITY

Silvus is seeking an Associate Engineer, Machine Learning who will report to the Research and Development (R&D) Director, Machine Learning on the Research and Development (R&D) team. The successful individual in this role focuses on supporting machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. This role works closely under the guidance of experts in wireless communications, DSP, networking, and embedded systems to develop machine learning (ML) driven features that solve real-world problems in dynamic and challenging RF environments.

This position is 100% onsite, Monday through Friday, at Silvus Technologies' Engineering and R&D Office in Irvine, CA, near the vibrant Irvine Spectrum, with one day a week at Silvus HQ in West Los Angeles.

The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.

ROLE AND RESPONSIBILITIES

* Lead and assist in the research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).

* Analyze real-world radio frequency (RF) datasets under senior guidance to extract insights and develop predictive models.

* Contribute to software prototypes and assist in integrating ML algorithms with Silvus' radio firmware and networking stack.

* Collaborate with cross-functional teams to understand ML use cases and evaluate the impact of deployed models.

* Contribute to the design and maintenance of data pipelines and infrastructure for training, testing, and validating models.

* Participate in performance benchmarking and iterative improvement cycles.

* Stay current with the latest ML research on wireless and embedded systems.

* Make informed technical decisions regarding model development, testing strategies, and implementation approaches, escalating issues and recommendations as appropriate.

* Perform other related duties of which the above are representative.

REQUIRED QUALIFICATIONS

* Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus a minimum of 0-2 years of experience in machine learning, with demonstrated application to real-world problems; no experience required with a graduate degree (M.S. or Ph.D.).

* Strong foundation in supervised and unsupervised learning and statistical modeling.

* Experience with Python ML frameworks (e.g., Tensor Flow, PyTorch, scikit-learn, etc.).

* Basic exposure to MATLAB or C/C++ for signal processing algorithm development.

* Must be a U.S. Citizen due to clients under U.S. government contracts.

* All employment is contingent upon the successful clearance of a background check and drug test.

PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES

* Master of Science degree in Electrical Engineering, Computer Science, or a related field.

* Demonstrated experience with radio frequency signal classification, anomaly detection, or spectrum monitoring.

* Proficiency in MATLAB or C/C++ for signal processing algorithm development.

* Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access).

* Familiarity with embedded ML, real-time systems, or deploying ML on…