Peraton is looking to solve complex challenges for government agencies, utilities, and commercial customers by developing next-generation tools for detecting cyber-attacks, enhancing network resilience, and improving small-form factor sensor systems, with a focus on cutting-edge technologies like machine learning and software-defined networking.
Requirements
- Experience coding within one or more of the following: Python, C/C++ or Java
- Interest and/or experience in one or more of the following domains: digital signal processing, RF software engineering, algorithm development, software defined radio, and machine learning
- Experience with modern machine learning development frameworks and platforms (e.g. Keras, TensorFlow, PyTorch) is expected
- Familiarity with common software defined radio platforms (e.g. Ettus USRPs) and software (e.g. GNU Radio)
- Familiarity with Open Air Interface(OAI) or srsLTE software stacks
- Familiarity with multiple-antenna or distributed signal processing techniques
- Knowledge of LTE standards
Responsibilities
- Conducting Radio Frequency (RF) machine learning research or developing signal processing algorithms for wireless systems
- Communicating the results of research through customer presentations and publications
- Writing design documents, simulation reports, and system documentation
Other
- US Citizen with an active TS/SCI Poly
- Bachelors w/ 2 years of experience or Masters with 0 years of experience with a Computer Science related degree
- strong technical prowess, inquisitive and curious nature, and strong desire to learn.
