Durandal is seeking a Senior AI/ML Engineer who will directly support the end-to-end design, development, testing, optimization, and deployment of ALFIE (AI/ML Learning Filter Integrated Engine), Durandal's ML-based cognitive filtering engine that extracts, models, and manipulates characteristics of digitized RF waveforms prior to transmission. The role will be responsible for ensuring that ALFIE is performant in real-time, resource-constrained edge environments, coordinating across AI/ML, RF/DSP, software, and hardware teams to transition ALFIE from a research prototype into a fully integrated operational system.

ABOUT DURANDAL

At Durandal, quality isn't just a standard, it is part of who we are. We take pride in developing industry-leading technology across four core areas of expertise: Software Engineering, Modeling and Simulation, Electronic Warfare, and AI/ML Engineering. Our talented team of developers and engineers brings curiosity, expertise, and a shared commitment to excellence in everything we do. Together, we challenge ourselves to build software and technology that is powerful, accurate, intuitive, and dependable, solving complex problems and making a real difference for our customers. We celebrate the teamwork, innovation, and attention to detail that make it all possible. Join our team and become part of a talented, collaborative, and driven group of people who are passionate about what we do. At Durandal, you'll have the opportunity to make an impact, grow your skills, tackle meaningful challenges, and help shape our future technology. Core Responsibilities 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. Required Qualifications 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.

PREFERRED

Qualifications 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. SALARY The salary range for this position is $123,200 to $184,800 annually. Placement within the range depends on experience, education, demonstrated technical depth, and program requirements.

Pay:

$123,200.00 - $184,800.00 per year

Benefits:

401(k) Dental insurance Health insurance Life insurance Paid time off Relocation assistance Retirement plan Vision insurance Application Question(s): Are you a U.S. citizen?

Education:

Bachelor's (Required) Security clearance: Secret (Preferred)

Work Location:

In person