We are seeking an experienced engineer who is an 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 - Actively contributes to the development of new concepts. Possesses full knowledge of industry and company practices, demonstrating expertise in the field and related disciplines.
- COMPLEXITY - Develops innovative solutions to a range of complex problems that are consistent with organizational objectives. Works without direction. Work is reviewed upon completion and is consistent with departmental objectives.
- IMPACT - Guides major projects to completion and may function in leadership role. Decisions are long-lasting and heavily influences 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 or lead teams of engineers and algorithm developers on a variety of different programs that are in various stages of product development.
- As a SME, candidate will support program reviews and technical interchange meetings with internal leadership and/or external customers
- BS in electrical engineering, mechanical engineering, aerospace engineering, physics, computer science, applied mathematics, or similar STEM degree and 5+ years of relevant experience.
- Interim Clearance is needed to start, therefore you must be a US Citizen.
- Shall be fluent in the following languages:
- MATLAB, python, and C++
- Shall have experience solving problems and relevant algorithm development in 5 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, clutter rejection, temporal analysis, low signature target detection, hyperspectral image processing techniques
- 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
- Shall be proficient in implementing and debugging IP algorithms running in a real-time processing environments
- Have knowledge of electro-optical/infrared detection technology, optics, and principles of radiometry
- Have knowledge and experience with Modelling and Simulation of EOIR systems
- Active Secret /Top 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 strong programming skills that can translate to C++ in a Linux environment
- Have experience deploying algorithms that satisfy real-time performance requirements
Pay Information
Full-Time Salary Range: $120600.00 - $224000.00
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.
Skills Required
- Bachelor’s degree in electrical engineering, mechanical engineering, aerospace engineering, physics, computer science, applied mathematics, or a related STEM field
- 5 or more years of relevant experience
- U.S. citizenship
- Interim security clearance required to start
- Fluency in MATLAB, Python, and C++
- Algorithm development experience in at least five specified image processing domains
- Strong mathematics skills in linear algebra, matrix mathematics, statistics, trigonometry, and convolution
- Experience validating C++ algorithm simulations and hardware models with real-time data collections
- Experience implementing and debugging image processing algorithms in real-time processing environments
- Knowledge of electro-optical/infrared detection technology, optics, and radiometry
- Experience modeling and simulating EO/IR systems
- Active Secret or Top Secret clearance
- Experience with preflight system performance assessment and post-flight verification analysis
- Experience with deployable AI/ML topologies for target detection
- Strong programming skills translating algorithms to C++ in a Linux environment
- Experience deploying algorithms meeting real-time performance requirements
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
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