Responsibilities
With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers.
Peraton Lab's cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques and cyber operations and experimentation platforms.
Your expertise and areas of interest may be applied on one or more programs, providing you new opportunities to learn and grow.
We are seeking highly skilled and motivated Senior and Principal Research Scientists to join our team working on cutting-edge projects within the domains of Radio Frequency Machine Learning (RFML), Digital Signal Processing (DSP), and / or Software Defined Radio (SDR).
The ideal candidate will possess a strong background in one or more of these areas and demonstrate the ability to lead the design, development, and prototyping of wireless solutions.
Candidates should possess a history of working with the government customer and have a history of leading Business Development efforts.
Key Responsibilities may include :
- Leading the design, development, and prototyping of advanced RF algorithms.
- Developing and implementing signal processing solutions for wireless systems.
- Conducting research on wireless standards, including LTE and open-source stack implementations.
- Utilizing modern machine learning frameworks (e.g., Keras, Tensorflow, Pytorch) to develop innovative solutions.
- Working with software-defined radio platforms (e.g., Ettus USRPs) and software (e.g., GNU Radio).
- Collaborating with internal and external teams to research concepts and develop state-of-the-art solutions to complex problems.
- Communicating research findings through presentations and publications to external customers and internal stakeholders.
- Developing, implementing, and analyzing signal processing and wireless communication techniques using Matlab, Python, and C / C++.
- Writing design documents, simulation reports, and system documentation.
- Debugging and testing prototypes on third-party SDR platforms.
Qualifications
Minimum of 12 years with BS / BA; Minimum of 10 years with MS / MA; Minimum of 7 years with Ph.D.
Required Qualifications :
- Strong background in RFML, DSP, and / or SDR.
- Highly proficient RF domain knowledge.
- Experience with wireless communication techniques and standards.
- Expertise in Matlab, Python, and / or C / C++.
- Ability to contribute to Business Development with the government customer.
- Strong written and spoken communication skills.
- Ability to work collaboratively and independently.
- U.S. Citizenship is required.
- Must possess an active TS / SCI w / Polygraph clearance.
Preferred Qualifications :
- Familiarity with modern machine learning development frameworks.
- Experience with third-party SDR platforms and software.
- Familiarity and experience with distibuted signal processing techniques.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy.
As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.
Peraton operates at the critical nexus between traditional and nontraditional threats across all domains : land, sea, space, air, and cyberspace.
The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces.
Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.
com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$190,000 - $304,000. This represents the typical salary range for this position based on experience and other factors.
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