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# Senior AI/ML Engineer

- **Company:** DURANDAL, LLC
- **Location:** Charlottesville, VA, United States
- **Experience:** Expert
- **Salary:** $123,200.0 - $184,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computing Platforms, Artificial Neural Networks, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Data Cleansing, Data Visualization, Field-Programmable Gate Array (FPGA), Python (Programming Language), Machine Learning, Radio-Frequency Identification, Tensorflow, Signal Processing, Software Requirements Analysis, Systems Integration, User-Centered Design, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Information Technology, Modeling and Simulation, Performance Monitor, Operational Systems, Multiaccess Edge Computing, Software Defined Radio
- **Published:** September 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=af6d854eea07b2cf

## About the Role

* Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or a related technical field, with 8-12 years of professional AI/ML development experience; or 6-10 years of experience with a Master's or Ph.D. in a related technical field.
 * Demonstrated experience developing, training, validating, optimizing, and deploying machine learning models using deep learning frameworks (e.g. PyTorch, TensorFlow).
 * Experience transitioning ML algorithms from research and experimentation through operational deployment, preferably with heavy resource constraints (SWaP-C).
 * Experience with online machine learning and adaptive models.
 * Proficiency in Python and/or C++.
 * Ability to work effectively across multidisciplinary engineering teams and translate system requirements into practical ML solutions., * Master's degree or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or a related technical field.
 * Experience with RF systems, digital signal processing (DSP), software-defined radio (SDR), communications systems, or RF waveform modeling and simulation.
 * Familiarity with SDR frameworks and platforms such as GNU Radio and USRP, along with experience in RF signal analysis, visualization, characterization, or data exploration.
 * Experience integrating software and ML algorithms with RF hardware, embedded systems, GPUs, FPGAs, or other specialized processing platforms.
 * Experience with GPU acceleration, CUDA, and/or embedded AI/ML inference and deployment on edge computing platforms.
 * Experience with RF modeling, simulation, and visualization tools.
 * Knowledge of regulatory/DoD RF compliance standards., * Bachelor's (Required)

## Description

* Design, develop, train, evaluate, and optimize deep learning models for RF waveform characterization and manipulation, including neural networks and sequence models applicable to time-series and complex-valued I/Q data.
 * Own the complete ML model lifecycle, from data preparation and experimentation through validation, optimization, deployment, and performance monitoring.
 * Develop and optimize ML solutions for real-time, resource-constrained edge environments, including deployment on GPUs, embedded processors, and other specialized computing platforms.
 * Develop and maintain training, testing, and evaluation environments with hardware-in-the-loop, including automated methodologies for measuring model performance, latency, resource utilization, and more
 * Collaborate with RF, DSP, software, and hardware engineers to translate system requirements into ML architecture design considerations and support the transition of algorithms from laboratory and simulation environments into fieldable operational systems.
 * Provide technical guidance through design reviews, mentorship, and beyond.