Senior Algorithm Engineer

SRC•Fairborn, OH

6d•Onsite

About The Position

SRC, Inc. is seeking a Senior Algorithm Engineer to lead development of radar, RF, and multi-sensor processing algorithms for ISR, electronic warfare, and advanced sensing missions. The role applies sensor physics and mathematical theory to derive processing methods, extract information from measurements, and demonstrate performance with defensible evidence. The engineer leads algorithm-development tasks of moderate scope, selects approaches to technical problems without off-the-shelf solutions, guides less experienced engineers, and contributes to proposals and customer engagements. The work spans detection and estimation theory, adaptive signal processing, coherent imaging, tracking and fusion, and the intersection of learned methods with model-based processing. The engineer will develop, analyze, and validate algorithms from mathematical formulation through implementation and performance characterization; analyze recorded data; build modeling and simulation capabilities; define metrics and test methods; and support transition to real-time and embedded implementations. The role also evaluates potential uses of learned methods, communicates technical tradeoffs, and presents findings to customers and program leadership. The position is full-time, salaried, based in Fairborn, Ohio, with an anticipated salary range of $100,000 to $116,000 annually and 10% travel. SRC describes itself as a not-for-profit research and development company working in defense, environment, and intelligence. Its workforce includes more than 1,400 engineers, scientists, and professionals.

Requirements

Bachelor’s degree in Electrical Engineering, Physics, Applied Mathematics, Statistics, or a related technical discipline and 4 or more years of relevant experience; or a master’s degree and 2 or more years of relevant experience.
Strong command of detection and estimation theory, stochastic processes, linear algebra, and statistical signal processing.
Demonstrated experience developing radar, RF, or comparable sensor-processing algorithms and validating them against real recorded data.
Proficiency in MATLAB and Python, including NumPy and SciPy, for algorithm development and analysis.
Experience with modeling and simulation, including Monte Carlo methods and performance prediction.
Ability to derive an approach from first principles when existing methods do not fit, and to recognize when existing methods are appropriate.
Experience guiding or mentoring less experienced technical staff.
Strong technical writing skills and ability to present complex analysis to technical and non-technical audiences.
Must meet security-clearance eligibility requirements.
Willingness to travel 10%.

Nice To Haves

Deep experience in one or more of STAP, adaptive or digital beamforming, SAR/ISAR image formation (including back-projection, polar format, or autofocus), MTI and clutter cancellation, passive or bistatic radar, or electronic warfare techniques.
Experience with cognitive and adaptive radar concepts, including resource management and closed-loop waveform adaptation.
Multi-sensor and multi-INT fusion experience.
Implementation experience in C/C++ with GPU acceleration (CUDA) or embedded/FPGA targets, including HLS workflows and fixed-point analysis.
Experience applying machine learning to RF and radar problems, such as RF machine learning, learned detection or classification, model-based deep learning and algorithm unrolling, or ML-assisted parameter estimation.
Familiarity with digital twin and high-fidelity scene or phenomenology simulation.
Experience with field testing, collection planning, and instrumented data collection.
Familiarity with DoD mission domains, customer communities, and technology transition pathways.
Publications or patents in radar signal processing or a related field.
Active DoD security clearance.
MS or PhD in a related technical discipline.

Responsibilities

Support and potentially lead development, analysis, and validation of radar and sensor-processing algorithms of moderate scope, from mathematical formulation through implementation and performance characterization.
Identify technical problems and shortfalls in existing processing chains and define approaches to address them.
Develop and apply advanced techniques, including adaptive beamforming, space-time adaptive processing, clutter suppression, waveform design and optimization, interference mitigation, and coherent imaging.
Analyze complex recorded data to characterize phenomenology, diagnose anomalies, and compare achievable performance with theoretical predictions.
Build and maintain high-fidelity modeling and simulation for algorithm development, trade studies, and Monte Carlo performance prediction.
Define performance metrics and test methodology, and produce defensible analyses of performance and sensitivity to environment, geometry, and system parameters.
Support transition of algorithms from prototype to real-time and embedded implementations, coordinating with software and hardware engineers on fixed-point effects, latency, throughput, and processing budgets.
Evaluate where learned methods add value over model-based processing and integrate them when supported by evidence.
Guide less experienced engineers and develop their analytical judgment.
Contribute to proposals and white papers, and help present technical findings and recommendations to customers.
Exercise independent technical judgment in selecting approaches and communicate tradeoffs to program leadership.