Associate AI/ML Communications Research Engineer

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 90,000 - 140,000; Full time

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

AI/ML

RF systems

C/C++

Verilog

SystemVerilog

MATLAB

Python

SoC testing

Lab equipment

Teamwork

Communication

Education

MS in Electrical Engineering or related field

Tools

Embedded Linux

Job description

The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for an Associate AI/ML Communications Research Engineer. In this role, a successful candidate will employ a multi-discipline approach to investigate, design, and validate AI/ML models and systems with application to wireless communications systems and protocols. This position requires knowledge of the design, training, and test of Artificial Neural Networks (ANN) and Temporal Neural Networks (TNN). This position requires knowledge of signal processing methods and techniques applied to the physical layer of wireless communications devices with emphasis on detection, modulation, and spreading. This position requires strong professional and team environment skills. The SEI is a federally funded research and development center at Carnegie Mellon University.

What you’ll do:

• Design, train, and test ANNs and TNNs using the latest tools and methods.
• Analyze and assess performance of radio frequency (RF) receivers.
• Research novel approaches to sensing the RF channel and optimizing the communications link.
• Program in C/C++ in an embedded Linux environment.
• Perform system analysis in MATLAB and Python.
• Develop logic in Verilog and SystemVerilog for System-on-Chip (SoC) platforms.
• Design and maintain physical and virtual test environments.
• Automate data collection and testing processes.

Who you are:

• You have an MS in Electrical Engineering or related field, with at least one year of relevant experience.
• You have a deep interest in AI / ML and the application to RF systems and protocols.
• You have practical experience with design and evaluation of AI and ML systems.
• You have penchant for intellectual curiosity, enjoy working on a small team of engineers, and have a desire to make an impact beyond your organization.
• You are hands and enjoy creating and testing prototypes.
• You have experience with laboratory test equipment.
• You have strong teamwork skills especially with working in interdisciplinary teams with professionals from other fields in a multi-tasking environment.
• You have superb communication skills (oral and written), particularly regarding technical communications with non-experts.
• You have a strong desire to learn and take on dynamic new challenges applying your existing skills and developing new skills.
• You are able to: Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, mission partner sites, conferences, and offsite meetings on occasion (10%).
• You will be subject to a background check and will need to obtain and maintain a Department of War security clearance.

Location Pittsburgh, PA

Job Function Software/Applications Development/Engineering Position Type Staff - Regular Full time/Part time Full time Pay Basis Salary

More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Always focused on the future, the Software Engineering Institute (SEI) advances software as a strategic advantage for national security. We lead research and direct transition of software engineering, cybersecurity, and artificial intelligence technologies at the intersection of academia, industry, and government. We serve the nation as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense (DoD) and are based at Carnegie Mellon University, a global research university annually rated among the best for its programs in computer science and engineering. Our people apply special knowledge and skills and are part of an elite research university. We perform research and apply our expertise every day to foresee problems and exploit opportunities in software engineering, AI engineering, and cybersecurity. Quality software that is secure will control the future. At CMU SEI, we are engineering that ever-greater software-fueled future.

Need Help? For technical assistance, email [e-mail] or call 412-268-5072.

We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at [e-mail] or by phone at 412-268-3930.