Senior Algorithm Engineer

SRC, Inc.  is currently seeking a Senior Algorithm Engineer to lead the development of radar, RF, and multi-sensor processing algorithms supporting ISR, EW, and advanced sensing missions. This role is for an engineer who works from the physics and the mathematics outward: understanding what a sensor can and cannot measure, deriving the processing that extracts the most information from that measurement, and proving the performance with evidence a customer will accept. You will lead algorithm development tasks of moderate scope, identify technical approaches to problems that do not have off-the-shelf answers, guide the technical efforts of less experienced engineers, and contribute to proposals and customer engagements. The work spans detection and estimation theory, adaptive signal processing, coherent imaging, tracking and fusion, and increasingly the hybrid space where learned methods and model-based processing meet. The successful candidate has depth in the theory and experience applying it to real recorded data.

What You'll Do 

• Support and may lead the 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 processing techniques such as 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 establish what the achievable performance actually is versus what theory predicts
• Build and maintain high-fidelity modeling and simulation to support algorithm development, trade studies, and Monte Carlo performance prediction
• Define performance metrics and test methodology, and produce defensible analysis of algorithm performance including sensitivity to environment, geometry, and system parameters
• Support the transition of algorithms from prototype to real-time and embedded implementations, working 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 where the evidence supports it
• Provide the technical guidance of less experienced engineers and develop their analytical judgment
• Contribute to proposals and white papers, and assist in presenting technical findings and recommendations to customers
• Exercise independent technical judgment on approach selection and communicate the tradeoffs clearly to program leadership

What You'll Bring 

• Bachelor’s degree in degree in Electrical Engineering, Physics, Applied Mathematics, Statistics, or a related technical discipline and 4+ years of relevant experience; or a Master's degree plus 2+ years
• 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 (NumPy, 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 no existing method fits, and to know when an existing method does
• Experience guiding or mentoring less experienced technical staff
• Strong technical writing and the ability to present complex analysis to technical and non-technical audiences

Ways to Stand Out

• Deep experience in one or more of: STAP, adaptive/digital beamforming, SAR/ISAR image formation (back-projection, polar format, 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 — 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/phenomenology simulation
• Experience with field testing, collection planning, and the practical realities of 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/PhD in a related technical discipline

What Sets Us Apart?
SRC, Inc., a not-for-profit research and development company, combines information, science, technology and ingenuity to solve “impossible” problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are redefining possible®. When you join our team, you’ll be a part of something truly meaningful — helping to keep America and its allies safe and strong. You’ll collaborate with more than 1,400 engineers, scientists and professionals — with 20 percent of those employees having served in the military — in a highly innovative, inclusive and equitable work environment. You’ll receive a competitive salary and comprehensive benefits package that includes four or more weeks of paid time off to start, 10 percent employer contribution toward retirement, and 100 percent tuition support.

Total compensation for this role is market competitive. The anticipated salary range for this position based out of Dayton, OH is estimated at $100,000 to $116,000 annually. The actual salary will vary based on applicant’s experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website.