AI/ML Communications Research Engineer for RF Systems

Carnegie Mellon University

Pittsburgh (Allegheny County)

Presencial

USD 90.000 - 140.000

Jornada completa

Hace 5 días
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Descripción de la vacante

Carnegie Mellon University’s SEI is seeking an Associate AI/ML Communications Research Engineer in Pittsburgh. You will design, train, and test ANNs and TNNs, analyze RF receivers, and research RF channel sensing to optimize links.

Proficiency in C/C++ in embedded Linux, MATLAB/Python, and Verilog/SystemVerilog is expected. The role requires an MS in EE or related field with at least one year of relevant experience, strong teamwork and communication skills, and willingness to travel; a DoD

Formación

  • MS in Electrical Engineering or related field and at least one year of relevant experience.
  • Interest in AI/ML applied to RF systems and protocols.
  • Practical experience with design and evaluation of AI and ML systems.
  • Strong teamwork and communication skills.
  • Willingness to travel and obtain a DoD security clearance.

Responsabilidades

  • Design, train, and test ANNs and TNNs for RF applications.
  • Analyze RF receivers performance.
  • Research sensing the RF channel and link optimization.
  • Program in C/C++ in an embedded Linux environment.
  • Perform system analysis in MATLAB and Python.
  • Develop logic in Verilog and SystemVerilog for SoC platforms.
  • Design and maintain test environments; automate data collection and testing.

Conocimientos

AI/ML
RF systems
C/C++
Verilog
SystemVerilog
MATLAB
Python
SoC testing
Lab equipment
Teamwork
Communication

Educación

MS in Electrical Engineering or related field

Herramientas

Embedded Linux

Descripción del empleo

Carnegie Mellon University’s SEI is seeking an Associate AI/ML Communications Research Engineer in Pittsburgh. You will design, train, and test ANNs and TNNs, analyze RF receivers, and research RF channel sensing to optimize links.

Proficiency in C/C++ in embedded Linux, MATLAB/Python, and Verilog/SystemVerilog is expected. The role requires an MS in EE or related field with at least one year of relevant experience, strong teamwork and communication skills, and willingness to travel; a DoD

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