INTERNSHIP DETAILS

Student Intern

CompanyScience Systems & Applications
LocationGreenbelt
Work ModeOn Site
PostedAugust 13, 2026
Internship Information
Core Responsibilities
The intern will support the development and operation of lidar systems by modifying mission planning software and optimizing electrical hardware. They will also perform lidar data analysis using machine learning and develop Python code for geolocation accuracy assessment.
Internship Type
casual
Company Size
594
Visa Sponsorship
No
Language
English
Working Hours
10 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
Science Systems and Applications, Inc. (SSAI) is a leading provider of science, engineering, and technology solutions for customers who seek new frontiers. For more than 47 years, we have been by their side, aligning with their vision and goals to provide excellent research and technical support. We support pioneers in science and engineering—such as NASA and NOAA—and we’ve made significant contributions to more than 150 Earth and space science missions. SSAI’s exceptional services are built on our genuine passion for research and innovative solutions. Our expert scientists, engineers, and IT professionals share a commitment to providing solutions for the unique needs of each client. SCIENCE - We focus our passion for science on exploring important questions to improve the quality of life for all of us. ENGINEERING - SSAI engineers design and build new technology to gather accurate data that keep us informed. INFORMATION ANALYTICS - We provide advanced information technology solutions to meet the needs of our customers and their end users.
About the Role

Science Systems and Applications Inc. (SSAI) is seeking a student intern (approximately 10 hours per week) to support the development and operation of waveform recording laser altimeter (lidar) systems at NASA's Goddard Space Flight Center (GSFC). The team is composed of world leaders in the development and deployment of airborne and space-based lidar systems for surface mapping and characterization. These systems rely on the precise digitization and time stamping of both the outgoing and returning lidar pulses (waveforms). Data from the team's lidars are available globally and are used to characterize and monitor surface features such as vegetation, sea ice, and ice sheets. 

Key Responsibilities:

  • Modifying and testing aircraft mission planning software for flight operations.
  • Electrical hardware optimization activities such as detector channel crosstalk analysis, signal-to-noise characterization of detectors, and optimization of signal attenuation, potentially involving FPGA programming.
  • Enhancing full-waveform lidar data analysis using machine learning techniques (improving pulse and feature detection while minimizing noise).
  • Developing Python-based code to perform geolocation accuracy assessment of data products.
  • Real-time data system enhancements to user interfaces and in-flight data quality assurance displays.
  • Processing lidar data by combining precision trajectory and inertial guidance data with extracted points of interest from waveforms to create point clouds of geolocated targets.

Required Qualifications:

  • Currently enrolled in an undergraduate or graduate program in Earth Science, Atmospheric Science, Computer Science, Electrical Engineering, Space Science, or other related discipline.
  • Programming experience in Python, MATLAB, IDL, or similar languages.
  • Strong interest in remote sensing, signal processing, or scientific instrumentation.
  • Ability to work independently and as part of a team.
  • US Citizenship or Permanent Residency required.

 Desired Qualifications:

  • Experience with signal processing or data analysis
  • Experience with FPGA programming
  • Familiarity with machine learning techniques
  • Background in remote sensing or lidar systems
  • Experience with scientific data visualization


EEO/AA Veterans and Individuals with Disabilities

Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus.

Key Skills
PythonMATLABIDLLidarSignal processingMachine learningFPGA programmingData analysisRemote sensingScientific instrumentationGeolocationData visualizationSoftware testingHardware optimization
Categories
Science & ResearchEngineeringTechnologyData & AnalyticsSoftware