Job Description

Requisition ID: 17819ERP Eligible?: YesERP amount: $50 LMRecognitionRelocation: NoType: ExemptShift: 1Clearance Prior to Start: NoneFinal Clearance: SecretPay Transparency: $166,900.00 - $309,900.00Experience Level: Experienced ProfessionalFT/PT/Casual: FullTimeDepartment: SpaceBusiness Unit: SpaceStandard Job DescriptionThe Advanced Programs and Exploitation (APEX) team within Lockheed Martin Space is seeking a Research Scientist Sr Staff to develop advanced software models, algorithms, and simulation capabilities for space-based payload processing of OPIR data used in missile warning and defense programs.In this role, you will develop high-performance C++ simulations of payload algorithms and processing pipelines, with a particular focus on translating algorithms implemented on FPGAs into functionally equivalent implementations running on x86 platforms. You will work closely with FPGA, algorithm, flight software, and systems engineers to validate processing, investigate discrepancies, and support mission processing integration and testing.Beyond software development, the selected candidate will contribute to the research, development, and maturation of mission processing algorithms and modeling techniques. This includes developing digital-twin capabilities and synthetic scene/data generation tools to support program modeling, analysis, algorithm development, and performance assessment.The selected candidate will be responsible for:Developing high-performance C++ simulation software for x86/LinuxTranslating FPGA-based algorithms into functionally equivalent C++ implementationsModeling payload processing, data flows, sensor behavior, and algorithmic pipelinesDeveloping and evaluating algorithms for mission and sensor data processingDeveloping digital-twin and synthetic scene/data generation capabilities to support system modeling, algorithm development, and program analysisComparing and validating CPU-based implementations against FPGA and reference implementationsSupporting software-in-the-loop and hardware-in-the-loop testingGenerating, analyzing, and characterizing mission and synthetic sensor dataInvestigating and troubleshooting differences between FPGA, simulated, and CPU implementationsOptimizing C++ software for large datasets and computationally intensive processingDeveloping analysis tools and techniques to evaluate algorithm and system performanceWorking across software, FPGA, algorithm, and systems engineering teams to resolve complex technical problemsProviding technical leadership and contributing to the definition of simulation architectures, algorithms, and modeling approachesDocumenting algorithms, interfaces, assumptions, models, and test resultsCommunicating technical findings and recommendations to engineering teams and program leadershipThis position is located in our offices in beautiful Boulder, Colorado.Basic QualificationsDegree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or related technical fieldStrong C++ development experienceExperience developing software for x86/Linux platformsExperience with algorithms, data structures, and object-oriented designExperience developing or implementing algorithms for signal, image, sensor, or other scientific/engineering dataFamiliarity with FPGA architecture, pipelining, parallel processing, and data movementAbility to obtain a Secret government clearanceDesired SkillsExperience translating algorithms between FPGA and x86/CPU implementationsExperience with FPGA-based signal or image processingExperience developing digital twins, physics-based models, sensor models, or synthetic data/scene generation toolsExperience with modeling and simulation for system-level analysisExperience developing or evaluating algorithms for sensor or mission processingFamiliarity with FPGA architecture, pipelining, parallel processing, and data movementExperience with Vitis, Vivado, or HLSExperience with fixed-point and floating-point processingExperience with image, signal, or mission data processingExperience with software-in-the-loop or hardware-in-the-loop simulationExperience with C++ performance optimization, multithreading, or parallel computingPython experience for data analysis, scientific computing, or test automationExperience leading technical efforts or providing technical direction to other engineersExperience communicating complex technical concepts and analysis to engineering and program leadershipActive security clearancePay InformationFull-Time Salary Range: $166900.00 - $309900.00At 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.

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