Radar Systems Engineer – Resource Management Lead

Job Summary

General Atomics Electromagnetic Systems (GA-EMS) seeks a Radar Systems Engineer - Resource Management Lead to design and optimize radar resource management and scheduling for advanced radar systems. This high-impact role involves shaping radar operation under various mission scenarios and collaborating with other subsystem leads.

Duties & Responsibilities

• Lead the architecture and system-level design of radar resource management (RRM) and scheduling for advanced radar systems.
• Develop radar schedulers that allocate radar resources (time, energy, beams, waveforms, apertures) across competing tasks and missions in real time.
• Define tasking concepts and scheduling strategies for search, track, surveillance, and special modes, including multi-function and multi-mission operations.
• Design search volumes, search fences, and waveform tables that coordinate search, track, and special modes under resource constraints.
• Perform system analysis and trades to evaluate resource management and scheduling approaches under varying mission scenarios, constraints, and environmental conditions.
• Develop algorithms, models, and simulations (primarily in MATLAB) to assess performance of RRM and scheduler designs, including scenario-based simulations and Monte Carlo analyses.
• Define and decompose system and subsystem requirements for RRM, scheduling, and associated control functions, including interfaces to DSP, tracking, digital beamforming, and command & control.
• Collaborate closely with stakeholders from other teams including DSP, tracking, digital beamforming, and command & control to ensure scheduler designs respect waveform, processing, and latency constraints.
• Support integration and test planning for RRM and scheduler functions, including lab, HWIL (hardware-in-the-loop), and field test events.
• Analyze data from simulations, lab tests, and field tests to evaluate scheduler performance, troubleshoot issues, and develop design updates.
• Prepare and present technical material at internal and external technical reviews (SRR, PDR, CDR, TRR, etc.) and customer meetings.

Qualifications

• Typically requires a bachelor's degree, master's degree, or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows:
• Fifteen or more years of experience with a bachelor's degree, thirteen or more years of experience with a master's degree, or ten or more years with a PhD.
• Strong background in systems engineering and radar engineering, with demonstrated ability to lead complex technical efforts and coordinate across disciplines.
• Experience in radar systems with emphasis in one or more of the following:
• Radar resource management and task scheduling
• Multifunction or multi-mission radar operations
• Mode management and waveform/beam scheduling
• Time-energy management for search, track, and special radar functions
• Mission management or autonomy for sensing systems (e.g., cognitive radar, adaptive tasking, decision theoretic control)
• Experience developing and analyzing radar algorithms, models, and simulations using MATLAB.
• Experience with additional tools such as Python or C/C++ is a plus.
• Familiarity with key radar subsystems and functions, such as:
• Digital signal processing and detection
• Tracking and track-while-scan architectures
• Digital beamforming and multi-beam operations
• Command and control / mission management
• Calibration and performance verification
• Ability to understand new concepts quickly and apply them accurately throughout a fast-paced, R&D environment.
• Strong communication, presentation, and interpersonal skills with the ability to work effectively with internal teams, customers, and government representatives.
• Ability to obtain and maintain a DoD security clearance.

Bonus

• Demonstrated experience designing and implementing radar task schedulers or resource managers for airborne, ground-based, naval, or space-based radar systems.
• Experience designing search volumes, search fences, and waveform tables and validating them through system-level simulations or field testing.
• Experience developing scenario-based system-level simulations (IQ-based and/or detection-based) to evaluate mission performance and resource management concepts.
• Experience with multi-function radar or systems that coordinate search, track, and special modes under resource constraints.
• Familiarity with Electronic Protection (EP)/Electronic Warfare (EW) techniques and their impact on scheduling and resource management.
• Experience with autonomy, optimization, or decision-making algorithms is a plus, such as: Queuing theory, operations research, or control theory, Reinforcement learning or other ML based decision policies, Heuristic or rule-based schedulers for complex, real-time systems.
• Previous experience working with the Department of Defense.