Scientist, Signal Processing

L3Harris Technologies; Palm Bay (FL); On-site; USD 130,000 - 170,000; Full time

Job summary

L3Harris Technologies seeks a highly skilled Scientist, Signal Processing, to mature multi-mission payload architectures with advanced signal-processing algorithms. You will work on on-orbit edge processing, sensor fusion, and geolocation across multi-domain platforms, applying rigorous verification and modeling to ensure mission readiness.

Ideal candidates hold a TS/SCI clearance, 10+ years in DSP, and hands-on experience with MATLAB/Simulink, Python, and C++.

Qualifications

• Master's degree in Electrical Engineering, Applied Mathematics, or an equivalent technical discipline; 10+ years of relevant experience.
• Active 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 related engineering role supporting aerospace, space, or multi-mission payload architectures.

Responsibilities

• 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 for multi-mission architectures.
• Build and use models and simulations to assess algorithm, payload, and mission-processing performance.
• Collaborate with payload, FPGA, firmware, software, systems integration, and test teams to allocate requirements and transition algorithms to implementation.
• 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.

Skills

Digital signal processing

Communications theory

Algorithms development

Aerospace systems engineering

Machine learning / AI

Education

Master's degree in Electrical Engineering, Applied Mathematics, or equivalent

Tools

MATLAB

Simulink

Python

C++

Job description

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

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.

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.