EO​/IR Perception System Analyst

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

Your greatest work is ahead!

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.

If this sounds like the kind of environment where you can thrive, keep reading!

Leidos Defense Systems Sector provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world’s toughest security challenges for customers with “can’t fail” missions.

• Work 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.
• Analyze data to identify trends, patterns, and insights that support program objectives and develop clear visualizations that communicate key findings.
• Assist with data collections and test events including pre-test planning, on-site test support, and post-test data cleaning, validation, and organization.
• Implement industry-standard and custom metrics to evaluate EO/IR system and algorithm performance.
• Document analysis methodologies, processes, and findings.
• Support the development and validation of synthetic EO/IR data generation capabilities by defining analysis needs and comparing synthetic outputs to real-world sensor data.

• Bachelor’s degree in Engineering (Electrical, Mechanical, or similar) from an ABET-accredited institution, Computer Science, Data Science, Physics, or a related field with relevant experience.
• Proficiency with Python and common scientific libraries such as Num Py, Sci Py, Pandas, scikit-image, stats models, matplotlib, seaborn, plotly, etc.
• Exposure to machine learning (ML) or statistical data analysis methods.
• Strong analytical skills and willingness to learn EO/IR-specific evaluation techniques.
• Interest in EO/IR systems and image-based detection and classification.
• Ability to effectively communicate technical findings clearly in both written and verbal formats within a cross-disciplinary team.
• Candidate must be a resident of the North Alabama area or willing to relocate to the Huntsville - North Alabama, AL area.
• Candidate 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.

• Active SECRET clearance or above.
• Familiarity with EO/IR imaging system concepts (pixels, noise, dynamic range, contrast, spectral bands)
• Knowledge 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.
• Experience evaluating or developing computer vision algorithms for…