Principal RF/DSP Engineer

AeroVironment•Leesburg, VA

7d•$153,500 - $234,250

About The Position

AV is seeking a hands-on Principal RF/DSP Engineer to take on the hardest RF detection and classification problems in our Counter-UAS products. The Principal RF/DSP Engineer will own our most difficult and least-documented RF targets end-to-end — signals where the first several hypotheses will be wrong, where documentation does not exist, and where the path from "we recorded something" to "we can reliably detect and identify it" must be invented, not followed. Given only a newly encountered drone/controller pair and complex-IQ recordings, this engineer will independently frame the problem, generate and rank hypotheses, design the experiment campaign, characterize the waveform, develop the algorithms, implement them in production C++, and validate performance against real-world RF data — without needing the approach handed to them. A major focus of this role is direction finding. Our line-of-bearing capability needs a strong technical owner, and this engineer will drive its improvement: antenna-array signal processing, bearing estimation, array calibration, and the practical realities of DF performance in the field — mutual coupling, multipath, platform effects, and coherent multichannel capture. Direction-finding experience is required for this position, not preferred. Beyond individual targets, this engineer will design and own reusable components within our signal-processing architecture — synchronization libraries, impairment-injection and synthetic-waveform frameworks, replay and validation harnesses — that raise the throughput of the entire team. They will serve as the day-to-day technical lead for other signal-processing engineers: reviewing analysis and code, de-risking approaches, and unblocking stalled investigations. They will inform the technical roadmap by identifying emerging target classes and recommending where the team invests next. This is a hands-on, individual-contributor technical leadership role. The successful candidate will personally analyze signals, develop algorithms, write and debug production code, and lead laboratory and field validation campaigns. It is not primarily a project-management, vendor-management, or advisory position. Prior experience with every waveform or protocol we encounter is neither expected nor possible. We are looking for an engineer with exceptional fundamentals and a demonstrated record of taking undocumented wireless systems from first contact to fielded capability, largely on their own initiative.

Requirements

BS or higher in Electrical Engineering, Computer Engineering, Applied Physics, or a related technical field.
Substantial professional experience developing RF, communications, radar, electronic-warfare, or related signal-processing systems.
Strong DSP and digital-communications fundamentals, including several of the following: Sampling and aliasing; Digital downconversion; FIR/IIR and multirate filtering; FFT and time-frequency analysis; Matched filtering; Detection and estimation; Carrier, phase, symbol-timing, and frame synchronization; Modulation and demodulation; Channel coding and error detection.
Demonstrated ability to independently investigate an unfamiliar signal or system using measurements and controlled experiments, from initial hypothesis through validated conclusion.
Experience analyzing real complex-IQ data—not only simulations or high-level system models.
Hands-on experience implementing, testing, and debugging DSP algorithms.
Proficiency writing production-quality C++ in a Linux environment.
Hands-on experience with direction finding and antenna-array signal processing: bearing estimation on real multichannel data (interferometric, beamforming, or subspace methods), array calibration, and an understanding of practical DF error sources such as mutual coupling, channel mismatch, and multipath.
Experience creating automated tests and replaying recorded data through algorithm pipelines.
Experience with collaborative source control and code review using Git or an equivalent system.
US Citizenship is required.

Nice To Haves

Track record of independently reverse-engineering an undocumented or partially documented wireless waveform or protocol through to a fielded or productized capability.
Demonstrated technical leadership of other engineers: reviewing designs and code, setting methodology, and raising team output while remaining hands-on.
Experience designing reusable DSP libraries, frameworks, or test infrastructure adopted by other engineers.
Experience with Software Defined Radios, RF laboratory equipment, and conducted or over-the-air testing.
Experience with frequency-hopping, spread-spectrum, OFDM, cellular, telemetry, command-and-control, or other modern communication systems.
Experience building detectors that operate in congested RF environments with measurable false-alarm requirements.
Experience with FPGA-based DSP, fixed-point implementation, hardware/software partitioning, or high-rate sample transport.
Experience optimizing real-time C++ DSP pipelines using profiling, SIMD, threading, bounded queues, and reusable buffers.
Experience generating synthetic waveforms and injecting controlled impairments such as noise, CFO, clock offset, fading, and interference.
RF antenna design experience: element or array design, simulation (e.g., HFSS, CST, FEKO), pattern and impedance measurement, or working directly with antenna engineers on array geometry and platform integration trades.
Deeper array-processing experience: wideband DF, DF on frequency-hopping or short-burst emitters, coherent multichannel receiver architectures, or emitter geolocation (TDOA/AOA fusion, multi-sensor triangulation).
Familiarity with statistical classification or machine learning applied to RF data.
Experience with Counter-UAS, electronic warfare, SIGINT, radar, or related mission systems.

Responsibilities

Take ownership of our most difficult unfamiliar RF targets with no prior framing: generate hypotheses, rank them, and design the experiment plan that discriminates between them.
Analyze wideband complex-IQ recordings from known and unfamiliar RF systems.
Characterize signal bandwidth, timing, modulation, synchronization, channel access, frequency-hopping behavior, framing, coding, and other observable properties.
Design controlled experiments that isolate transmitter behavior and reveal waveform or protocol structure, and decide when a line of investigation should be redirected or abandoned.
Develop algorithms for burst detection, synchronization, demodulation, signal characterization, protocol recovery, classification, and tracking.
Design, implement, and own reusable signal-processing components — synchronization libraries, synthetic-waveform and impairment-injection frameworks, replay fixtures, and validation harnesses — used across the team.
Own and improve line-of-bearing performance: develop and refine array signal-processing algorithms for bearing estimation (e.g., correlative interferometry, subspace methods such as MUSIC, beamforming), and quantify accuracy against ground truth.
Diagnose and mitigate real-world DF error sources including array calibration drift, mutual coupling, channel phase/gain mismatch, multipath, platform and mast effects, and coherent-source conditions.
Design array calibration procedures and validate them in conducted, anechoic/open-range, and field settings.
Distinguish target signals from noise, interference, receiver artifacts, and benign emitters in dense RF environments.
Implement and optimize production DSP capabilities in modern C++.
Convert exploratory analysis into maintainable, observable, and computationally bounded production components.
Validate algorithms using synthetic, conducted, over-the-air, and field-recorded data, and lead field validation campaigns.
Measure detection probability, false-alarm rate, packet error rate, acquisition behavior, latency, and computational performance.
Diagnose failures involving CFO, sample-clock error, timing recovery, multipath, clipping, IQ imbalance, spectral inversion, dropped samples, and interference.
Serve as day-to-day technical lead for other signal-processing engineers: review their analysis, experiment designs, and code; de-risk their approaches; and step into stalled efforts and get them moving.
Identify emerging target classes and systemic bottlenecks, and recommend technical investments to leadership.
Work with RF, FPGA, embedded software, data science, test, and mission teams.
Document observations, assumptions, confidence levels, known limitations, and recommended next experiments.