Silvus Technologies is seeking a Machine Learning Engineer to improve the performance, efficiency, and adaptability of their advanced MIMO radios and wireless networking systems by applying machine learning and data-driven techniques.
Requirements
- Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
- Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
- Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
- Proficiency in MATLAB or C/C++ for signal processing algorithm development.
- Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
- Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.
- Background in adaptive modulation, beamforming, or cognitive radio techniques.
Responsibilities
- 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 RF datasets to extract insights and develop predictive models.
- Develop software prototypes and integrate ML algorithms with Silvus’ radio firmware and networking stack.
- Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
- Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
- Participate in performance benchmarking and iterative improvement cycles.
- Stay current with the latest Machine Learning research for wireless and embedded systems.
Other
- M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
- Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
- Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire.
- Must be a U.S. Citizen due to clients under U.S. government contracts.
- Excellent communication and collaboration skills.
- Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
- Experience with GPU acceleration or model optimization for constrained environments.
