R&D Computer Engineer

BT-344 – R&D Computer Engineer (Graduate Student Research Position) Location: DMV, Remote-Hybrid ** Must be able to obtain a clearance if offered the position** Position Overview We are seeking highly motivated graduate students in Electrical Engineering or Computer Engineering to join our R&D team as an R&D Computer Engineer. This role offers a unique opportunity to gain hands-on research experience at the intersection of embedded systems, machine learning, and audio technologies. The successful engineer will contribute to the design, development, optimization, and evaluation of machine learning solutions deployed on resource-constrained embedded platforms. Responsibilities Design and develop software in C++ for embedded systems applications. Implement and optimize machine learning algorithms on microcontrollers and neural accelerator hardware. Conduct system-level testing, validation, and performance benchmarking. Perform power profiling and energy-efficiency analysis of embedded AI workloads. Develop and maintain technical documentation, reports, and research artifacts. Collaborate with engineers and researchers to evaluate new architectures, algorithms, and deployment strategies. Support prototyping, debugging, and integration activities across hardware and software platforms. Required Experience/Skills Strong C++ software development experience. Embedded systems development experience. Experience with microcontrollers. Knowledge of neural accelerators. Machine learning fundamentals and implementation (e.g., CNNs). Power profiling and performance analysis. Software and system testing methodologies. Technical documentation and reporting. Preferred / Nice-to-Have Skills Audio signal processing. TinyML model training and deployment. Anomaly detection methods. Gaussian mixture models. Education Requirements Cumulative and major GPA above 3.5. Currently pursuing a degree in Electrical Engineering or Computer Engineering. Exceptional upperclassmen (seniors) may be considered on a case-by-case basis. Preferred Qualifications Bachelor's degree in Electrical Engineering or Computer Engineering from an ABET-accredited program. Currently pursuing a Master's or Ph.D. in Electrical Engineering or Computer Engineering. What You'll Gain Hands-on research experience in embedded systems and machine learning. Exposure to cutting-edge neural accelerator technologies. Experience deploying AI solutions on resource-constrained hardware. Opportunities to contribute to innovative audio-focused research projects. Flexible remote work environment and collaboration with experienced researchers and engineers.