Research scientist

Company Description

Nexcepta, Inc. is a U.S.-based technology company specializing in delivering advanced R&D solutions, commercial products, and engineering services to both federal and commercial clients. Our expertise spans NextG communications, cybersecurity, cloud and edge computing, artificial intelligence, machine learning, and data analytics. With a mission-focused approach, we bring transformative innovations from conception to real-world application. Our diverse team of experienced scientists and engineers is dedicated to using science and technology to push boundaries and solve complex challenges for impactful deployment.

Role Description

This is a full-time hybrid role for a Research Scientist based in Gaithersburg, MD, with flexibility for remote work.
The Research Scientist will develop, research and implement innovative solutions in the fields of RF communications, networks, cybersecurity, machine learning, data analytics, and computing.
(S)He will work closely with an interdisciplinary team of scientists and engineers to identify new research opportunities, provide customized solutions, develop cutting-edge technologies, and contribute to and maintain up-to-date knowledge of academic and industry research advancements in the areas described above. Strong analytical and programming skills are required. Responsibilities include participating in research activities, writing technical documents, developing software and prototypes, and writing research proposals. US. Citizenship or Permanent Residency is required. Nexcepta offers comprehensive benefits (including health/dental insurance, 401K, education support, and bonus plans).

Qualifications

• A Ph.D. or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, with a specific focus on artificial intelligence and machine learning.
• Strong coding/programming skills with Python or any other industry-standard language.
• A clear understanding of wired/wireless communications and networking concepts, optimization algorithms and distributed computing is essential.
• Proficiency in machine learning and artificial intelligence concepts and algorithms such as deep learning, decision tree, regression, classification, clustering, etc.
• Excellent research and problem-solving skills, strong written and oral communication skills, and ability to work effectively in cross-functional teams.
• Experience with government contracting, proposal writing, or technology transition is a plus