Leidos’ Defense Systems, Advanced Sensors and Protective Technologies Portfolio is seeking a talented EO/IR Perception Systems Analyst to join a multidisciplinary team to create unique solutions to complex engineering challenges in our Huntsville, AL location. This hybrid role blends engineering analysis with data analytics, making it ideal for those eager to work at the intersection of EO/IR sensor data and perception algorithms. The Advanced Sensors and Protective Technologies Portfolio develops and evaluates EO/IR sensor systems and protection capabilities that improve threat detection, survivability, and overall mission effectiveness. We focus on advancing sensor system technologies through real‑world testing, modeling and simulation, and performance analysis to help transition emerging sensor solutions into operational systems. Primary Responsibilities. 023Work within a team of engineers and scientists to develop Python-based analysis scripts that facilitate the qualitative and quantitative analysis of EO/IR sensor systems and generate clear, well-structured data products. 023Analyze data to identify trends, patterns, and insights that support program objectives and develop clear visualizations that communicate key findings. 023Assist with data collections and test events including pre-test planning, on-site test support, and post-test data cleaning, validation, and organization. 023Implement industry-standard and custom metrics to evaluate EO/IR system and algorithm performance. 023Document analysis methodologies, processes, and findings. 023Support the development and validation of synthetic EO/IR data generation capabilities by defining analysis needs and comparing synthetic outputs to real-world sensor data. Basic Qualifications. 023Bachelor019s degree in Engineering (Electrical, Mechanical, or similar) from an ABET-accredited institution, Computer Science, Data Science, Physics, or a related field with relevant experience. 023Proficiency with Python and common scientific libraries such as NumPy, SciPy, Pandas, scikit-image, statsmodels, matplotlib, seaborn, plotly, etc. 023Exposure to machine learning (ML) or statistical data analysis methods. 023Strong analytical skills and willingness to learn EO/IR-specific evaluation techniques. 023Interest in EO/IR systems and image-based detection and classification. 023Ability to effectively communicate technical findings clearly in both written and verbal formats within a cross-disciplinary team. 023Candidate must be a resident of the North Alabama area or willing to relocate to the Huntsville - North Alabama, AL area. 023Candidate must be a U.S. Citizen and possess (and be able to maintain) a Final Secret Clearance OR meet the eligibility to obtain (and maintain) a Final Secret Clearance. Preferred Qualifications. 023Active SECRET clearance or above. 023Familiarity with EO/IR imaging system concepts (pixels, noise, dynamic range, contrast, spectral bands) 023Knowledge in the development and evaluation of a variety of ML architectures to include classical ML techniques as well as modern deep learning (DL) architectures for supervised and unsupervised learning. 023Experience evaluating or developing computer vision algorithms for object detection, recognition, and tracking. 023Knowledge of statistical analysis techniques for performing exploratory data analysis, comparing distributions of data, and for performing low dimensional embedding. 023Familiarity with synthetic data generation or modeling & simulation concepts. 023Familiarity with C++ programming If youre looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo 12 because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. Were already at step 30 12 and moving faster than anyone else dares. Original Posting: August 25, 2026 Pay Range: Pay Range $57,850.00 - $104,575.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.