Neural Signal Processing Jobs in Florida (NOW HIRING)

Standard Job Description We are seeking an experienced engineer who is an emerging subject matter expert in Image and Signal Processing (S/IP) to join a highly skilled team of systems engineering technologists and algorithm developers supporting various contracts and IRADs within Missiles and Fire Control. Considered an emerging subject matter expert The engineer researches, designs, develops and verifies signal and image collection systems, and defines and develops processing and dissemination computer algorithms. Develops requirements analysis, sub-system architectures, and integrates new signal and image processing technology systems.

Designs, develops and analyzes systems and algorithms for the extraction of information from signal and image sensors. Technologies applied include: remote sensing; detection and estimation theories; morphological processing; speech processing; neural networks; electromagnetic and acoustic effects on signals; and implementation of signal processing with advanced computer architectures. The typical IP Engineer should show: KNOWLEDGE - Possesses comprehensive understanding and applies concepts within the field and related disciplines.

Demonstrates knowledge of industry and company practices. COMPLEXITY - Develops practical solutions to a range of complex problems. Works under general direction and participates in determining assignment objectives.

Work is done independently and is reviewed at critical points. IMPACT - Exerts some influence on the overall objectives and long-range goals of the organization. Engages with senior personnel on significant matters.

Typical IP Engineer tasks may include: Design, develop, test, and verify embedded algorithms that support unresolved (point-source) and resolved target detection and tracking for missile and fire control products. Develop, validate, and test complex models and simulations that utilize advanced image processing algorithms to detect targets of interest. Evaluate and analyze system performance in complex scenarios and environments and verify system and subsystem level requirements Perform critical studies, analyses, and test activities that support ground and flight test efforts including Hardware-In-The-Loop (HWIL) activities Opportunities will exist to join small teams of engineers and algorithm developers on a variety of different programs that are in various stages of product development.

Support program reviews and technical interchange meetings with internal leadership and/or external customers Basic Qualifications BS in electrical engineering, mechanical engineering, aerospace engineering, physics, computer science, applied mathematics, or similar STEM degree and 3+ years of relevant experience. Interim Clearance is needed to start, therefore you must be a US Citizen. Should be fluent in one of the following languages and proficient in the others : MATLAB, python, and C++ Shall have experience solving problems and relevant algorithm development in 3 or more image processing domains mentioned below: match filtering, SNR analysis, image enhancement algorithms, resolved or unresolved target detection, automatic target recognition / identification, image correction algorithms, synthetic scene generation, temporal analysis, low signature target detection Shall demonstrate strong math skills in the areas of: linear algebra, matrix math, statistics, trigonometry, and convolution Shall be proficient in validating C++ algorithm simulations and hardware models with real-time data collections Have experience implementing and debugging IP algorithms running in a real-time processing environments Have been exposed to electro-optic phenomenology and optical system analysis as it applies to image/signal processing.

Have familiarity with Modelling and Simulation of EOIR systems Desired Skills Active Secret Clearance Ability to perform preflight system performance assessment and post flight verification analyses Have experience with deployable AI/ML topologies as they relate to target detection Have knowledge of electro-optical/infrared detection technology, optics, and principles of radiometry Have strong programming skills that can translate to C++ in a Linux environment Have experience with clutter rejection techniques Have knowledge and experience with Modelling and Simulation of EOIR systems Have experience deploying algorithms that satisfy real-time performance requirements Pay Information Full-Time Salary Range: $98100.00 - $182100.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition

Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability

Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays.

Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.