Assistant Staff: Software Developer

MIT Lincoln Laboratory•Lexington, MA

2d•$100,200 - $150,000

About The Position

The Applied Space Systems Group (Group 97) develops environmental monitoring sensor systems for detecting and tracking natural and man-made phenomena. As such, this group's activities include: the extraction of target and feature information from airborne and space-borne hyperspectral imagery; system support of National Oceanic and Atmospheric Administration (NOAA) environmental satellites in performance analysis and improvement of existing sensors and products; architecture definition and sensor development support for next-generation U.S. Government satellite systems; and chemical agent detection sensor system development. Work includes system and architecture analysis, sensor hardware development, signal processing, data analysis, and algorithm development. The Applied Space Systems Group is seeking to hire an Assistant Staff software developer to support various Electro-Optical and Radio-Frequency remote sensing applications. Candidate will work closely with other staff members to build robust signal and image processing algorithms and visualization tools. Experience with parallel processing desired. Candidate should have excellent written and oral communication skills and will be required to successfully attain and hold a TS/SCI level clearance.

Requirements

BS in Computer Science, Computer Engineering, or a related technical field.
0 - 3 years professional industry or research experience in software development
Experience with software application development and container implementation
Strong Python skills for scientific computing, data processing, or algorithm development
Familiarity with modern software development practices, including Git, testing, and documentation
Experience working in Linux/Unix environments
Exposure to application development and containerization tools such as Docker
Strong problem-solving and analytical skills
Excellent written and verbal communication skills
Ability to obtain and maintain TS/SCI clearance

Nice To Haves

Experience with scientific computing in Python; familiarity with Julia and compiled languages such as Rust, C/C++ or Go
Exposure to scalable or parallel computing workflows (e.g., multiprocessing, distributed computing, GPU acceleration, or modern data-processing frameworks)
Familiarity with ML/AI tooling for image analysis, including frameworks such as PyTorch, TensorFlow, or scikit-learn
Experience with image processing and registration techniques
Familiarity with image processing libraries such as OpenCV or scikit-image
Experience working with geospatial or scientific data formats (e.g., GeoTIFF, HDF5, NetCDF)
Exposure to cloud, HPC, or large-scale compute environments
Familiarity with modern software engineering practices, including CI/CD and automated testing
Background in remote sensing, geospatial analytics, or satellite imagery processing