Scientist, Signal Processing

Job Title: Scientist, Signal Processing

Job Code: 42145

Job Location: Palm Bay, Florida (on-site)

Job Schedule: 9/80 Regular

Job Description:

This role will help define and mature signal- and mission-processing capabilities for evolving multi-mission payload architectures. The engineer will apply signal-processing expertise, including algorithm design, detection and estimation, sensor fusion, data association, geolocation and tracking, and on-orbit edge processing, to support development, integration, verification, and operational readiness. This is an on-site opportunity in Palm Bay, Florida supporting the Agile Missions portfolio.

Essential Functions:

Define signal- and mission-processing architectures, functional flows, requirements, interfaces, and verification strategies for multi-mission payloads.

Analyze, design, and develop signal-processing algorithms for time-frequency analysis, detection, estimation, and optimization.

Develop multi-sensor fusion, data-association, target-geolocation, and tracking approaches for multi-mission architectures.

Build and use models and simulations to assess algorithm, payload, and mission-processing performance, including latency, resource use, and operational impact.

Collaborate with payload, field-programmable gate array, firmware, software, systems integration, and test teams to allocate requirements, resolve interfaces, and transition algorithms to programmable logic or embedded software.

Support integration, verification, validation, anomaly resolution, and technical-risk closure across the product lifecycle.

Produce technical analyses and supporting artifacts for internal and customer reviews; brief results, risks, and decisions to program stakeholders.

This position is based on-site in Palm Bay, Florida; travel may be required, with the percentage to be determined based on business needs.

Qualifications:

Master's Degree in Electrical Engineering, Applied Mathematics, or an equivalent technical discipline, and 10 or more years of relevant experience.

Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.

Ability to obtain and maintain Special Access Program (SAP) access, as required

Demonstrated expertise in digital signal processing and communications theory, including algorithm development and implementation in firmware or software.

Experience in systems engineering or a related engineering role supporting aerospace, space, or multi-mission payload architectures.

Depth in one or more of the following: array signal processing, including geolocation and direction finding; statistical signal processing, including detection and estimation theory; radar signal processing, including electronic protection and space-time or space-frequency adaptive processing; modern communications systems, including low-probability-of-intercept/low-probability-of-detection, anti-jam, anti-scintillation, wireless or cellular, or high-Doppler-rate communications; electronic warfare or electronic attack; or machine learning, neural networks, or artificial intelligence.

Preferred Additional Skills:

Doctoral degree in Electrical Engineering, Applied Mathematics, or a closely related technical discipline.

Experience designing or evaluating on-board or edge-processing solutions using field-programmable gate arrays/SDRs, systems on a chip, graphics processing units, artificial-intelligence accelerators, or multi-rate fixed-point digital signal-processing architectures.

Programming and modeling proficiency using MATLAB, Simulink, Python, C, or C++.

Experience collaborating across systems, payload, firmware, software, integration, and test disciplines to transition algorithms to implementation.

Experience supporting multi-mission payload architectures and evolving mission-processing pipelines.

#LI-LS4