RF Modeling & Simulation Engineer — Lead Beamforming

BlueHalo; Germantown (MD); In loco; USD 75.000 - 160.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

401K with company match

Paid time off

Descrizione del lavoro

AeroVironment is seeking mid-to-senior RF Modeling and Simulation Engineers to be based onsite in Albuquerque, NM or Germantown, MD. You will develop system-level models for advanced RF and phased-array systems, guiding design and production decisions across the full product lifecycle.

The role requires strong RF modeling, EM simulation, and test-correlation skills, with opportunities for technical leadership and mentoring within a multidisciplinary team.

Competenze

• Bachelor’s or master’s degree in Electrical Engineering, RF Engineering, Applied Physics, or a related technical discipline.
• Mid-Level: Typically five or more years of relevant experience in RF modeling, electromagnetic simulation, array analysis, RF system development, or related hardware development.
• Senior-Level: Typically eight or more years of relevant experience, including demonstrated technical leadership in RF modeling, simulation, or system analysis.
• Strong understanding of RF systems, phased-array architecture, beamforming, antennas, RF front ends, propagation, mixed-signal interfaces, and measurement correlation.

Mansioni

• Develop RF system, antenna, and phased-array models covering propagation, element behavior, beamforming, RF distribution, amplification, frequency conversion, digitization, and system interfaces.
• Analyze performance metrics such as gain, loss, noise figure, EIRP, scan loss, beam patterns, sidelobes, phase and amplitude error, dynamic range, and link margin.
• Evaluate the effects of component tolerances, calibration residuals, thermal drift, mutual coupling, packaging, layout, and assembly variation.
• Use MATLAB, HFSS, ADS, CST, Python, or comparable tools to develop reusable models, simulation workflows, automated analyses, and technical visualizations.
• Define and document model assumptions, interfaces, parameters, units, limitations, and validity ranges.
• Automate parameter sweeps, uncertainty studies, sensitivity analyses, optimization, and design trade studies.
• Correlate model predictions with measured data from RF boards, phased-array tiles, subsystems, antenna ranges, chambers, and production testing.
• Work with design and test engineers to investigate model-to-measurement differences, identify physical causes, and update models using controlled evidence.
• Provide performance margins, sensitivity results, and recommendations for architecture, component selection, PCB layout, calibration, packaging, and assembly decisions.
• Support requirements development, verification planning, test definition, and technical closure through analysis and measurable predictions.
• Participate in design, test-readiness, production-readiness, and customer technical reviews.
• Maintain configuration-controlled records of model inputs, outputs, revisions, configurations, and correlation results.
• Lead technical tasks, modeling efforts, special projects, or process improvements based on experience.
• Mentor junior and mid-level engineers and promote reusable, traceable, and disciplined modeling practices.
• Support occasional travel to customer, supplier, test, or field locations as required.

Conoscenze

RF modeling

EM simulation

Phased-array analysis

MATLAB

HFSS

ADS

Python

System-level modeling

Technical leadership

Mentorship

Formazione

Bachelor's or Master's in Electrical Engineering or related

Strumenti

HFSS

ADS

CST

MATLAB

Python

Descrizione del lavoro

AeroVironment is seeking mid-to-senior RF Modeling and Simulation Engineers to be based onsite in Albuquerque, NM or Germantown, MD. You will develop system-level models for advanced RF and phased-array systems, guiding design and production decisions across the full product lifecycle.

The role requires strong RF modeling, EM simulation, and test-correlation skills, with opportunities for technical leadership and mentoring within a multidisciplinary team.