Job ID: 5409
Date Posted: November 4 2025The Space Dynamics Laboratory (SDL) a University Affiliated Research Center (UARC)has been developing innovative technologies and solutions for cutting-edge DoD and intelligence programs for over six decades.SDLs internship program provides an exciting opportunity for undergraduate and graduate students to get involved with state-of-the art technologies in space- airborne- and ground-based systems. With the support of Engineers and mentors Interns are able to work on professional-level assignments that complement their academic studies. The program also includes training workshops networking opportunities and a variety of summer events and activities. Interns will be paid a competitive monthly stipend and will be tasked with varying duties based on current projects needed support and development phase.The Command Control Communications Computers Intelligence Surveillance and Reconnaissance (C4ISR) Systems Division is seeking an exceptional Large Language Model (LLM) Inference & Integration Engineer Intern to assist in building and integrating local LLM inference pipelines.The C4ISR Systems Division delivers mission-critical solutions specializing in cyber operations information architecture strategic deterrence and ISR. Our divisions commitment to innovation and security enables us to provide critical solutions across defense intelligence and national security. Join our team and contribute to the next generation of defense technologies.This position has the potential of continued employment or transition to student/full-time employment requiring security clearance eligibility.This internship is for the summer of 2026.Primary Responsibilities- Prototypes and productionizes automation workflows that run local open-weight LLMs using portable inference runtimes and quantized model formats
- Integrates LLM chains with internal tools using standard chat/completions-style APIs (prompting function/tool calling streaming)
- Optimizes inference (quantization choices context length batching) for speed/memory on CPU/GPU
- Builds small services/CLIs to run batch jobs evaluate outputs and log metrics
- Writes clear documentation and example notebooks for other Engineers to reuse your pipelines
- Contributes tests and lightweight evals to ensure reliability and prevent regressions
Requirements- Experience running local/open-weight models with open-source inference runtimes on CPU and/or GPU
- Familiarity with quantized model artifacts/formats and loaders for edge/desktop deployment
- Experience calling chat/completions-style REST APIs in code (JSON streaming function/tool calling)
- Proficiency in at least python C or C#
- 6 months of regular development on Linux: Bash scripting package managers SSH (key-based auth) Git file permissions and basic networking tools; comfortable building from source (CMake/Make) and troubleshooting dependencies
- Solid understanding of prompts context windows and tokenization basics
- Ability to work well independently with minimal supervision
- Ability to work well in a team with other students and professionals
- Strong initiative and ability to see the job through
- Good communication skills both written and verbal
- Must be a US citizen lawful permanent resident of the US or other US person
Preferred Skills- Experience with Playwright or similar UI/browser automation
- Experience documenting generation pipelines using LLM outputs (Markdown/HTML/PDF templating)
- Basic RAG/evals (embedding stores quality checks hallucination guards)
- Experience with Docker CUDA/ROCm and profiling/benchmarking
- Experience with team collaborative tools (Confluence Jira GitHub etc.)
- Experience leveraging LLMs to interpret user intent and generate spatial queries over vector and raster data delivering ranked imagery and regions with documented provenance
- Experience applying object detection and segmentation to overhead imagery including georeferenced tiling large-scene processing and packaging inference as scalable batch jobs and services
Education- Must be pursuing a degree in computer science computer engineering or electrical engineering
- Must be a junior senior or graduate student
- 3.0 GPA minimum is required
If youre unsure if you are qualified we still want to hear from you! If you have a passion for problem-solving and learning you could be a great fit for this internship
SDL delivers advanced multi-domain solutions to protect national security and enable scientific discovery. Our expertise in satellites sensors and instruments ground systems and data processing and autonomous systems plays a critical role in missions supporting NASA and the Department of Defense. Join our team of engineers scientists technicians and business professionals in our seventh decade of delivering mission success.
At SDL we strive to uphold a culture of respect collaboration empowerment and accountability. We listen with open minds seek to understand diverse perspectives and engage in thoughtful dialogue. We work together by sharing knowledge involving others and offering support. We trust and empower our team members to take ownership act with integrity and be accountable. Above all we deliver on our commitments to each other and to our mission partners.
The application window for this position is expected to remain open for approximately 7 days. However it may be shortened or extended depending on business needs and the availability of qualified candidates. We encourage interested candidates to submit their applications promptly.For questions assistance or accommodation with the application process or the DoD SkillBridge program please contact
Required Experience:
Intern
Job ID: 5409Date Posted: November 4 2025The Space Dynamics Laboratory (SDL) a University Affiliated Research Center (UARC)has been developing innovative technologies and solutions for cutting-edge DoD and intelligence programs for over six decades.SDLs internship program provides an exciting opportu...
Job ID: 5409
Date Posted: November 4 2025The Space Dynamics Laboratory (SDL) a University Affiliated Research Center (UARC)has been developing innovative technologies and solutions for cutting-edge DoD and intelligence programs for over six decades.SDLs internship program provides an exciting opportunity for undergraduate and graduate students to get involved with state-of-the art technologies in space- airborne- and ground-based systems. With the support of Engineers and mentors Interns are able to work on professional-level assignments that complement their academic studies. The program also includes training workshops networking opportunities and a variety of summer events and activities. Interns will be paid a competitive monthly stipend and will be tasked with varying duties based on current projects needed support and development phase.The Command Control Communications Computers Intelligence Surveillance and Reconnaissance (C4ISR) Systems Division is seeking an exceptional Large Language Model (LLM) Inference & Integration Engineer Intern to assist in building and integrating local LLM inference pipelines.The C4ISR Systems Division delivers mission-critical solutions specializing in cyber operations information architecture strategic deterrence and ISR. Our divisions commitment to innovation and security enables us to provide critical solutions across defense intelligence and national security. Join our team and contribute to the next generation of defense technologies.This position has the potential of continued employment or transition to student/full-time employment requiring security clearance eligibility.This internship is for the summer of 2026.Primary Responsibilities- Prototypes and productionizes automation workflows that run local open-weight LLMs using portable inference runtimes and quantized model formats
- Integrates LLM chains with internal tools using standard chat/completions-style APIs (prompting function/tool calling streaming)
- Optimizes inference (quantization choices context length batching) for speed/memory on CPU/GPU
- Builds small services/CLIs to run batch jobs evaluate outputs and log metrics
- Writes clear documentation and example notebooks for other Engineers to reuse your pipelines
- Contributes tests and lightweight evals to ensure reliability and prevent regressions
Requirements- Experience running local/open-weight models with open-source inference runtimes on CPU and/or GPU
- Familiarity with quantized model artifacts/formats and loaders for edge/desktop deployment
- Experience calling chat/completions-style REST APIs in code (JSON streaming function/tool calling)
- Proficiency in at least python C or C#
- 6 months of regular development on Linux: Bash scripting package managers SSH (key-based auth) Git file permissions and basic networking tools; comfortable building from source (CMake/Make) and troubleshooting dependencies
- Solid understanding of prompts context windows and tokenization basics
- Ability to work well independently with minimal supervision
- Ability to work well in a team with other students and professionals
- Strong initiative and ability to see the job through
- Good communication skills both written and verbal
- Must be a US citizen lawful permanent resident of the US or other US person
Preferred Skills- Experience with Playwright or similar UI/browser automation
- Experience documenting generation pipelines using LLM outputs (Markdown/HTML/PDF templating)
- Basic RAG/evals (embedding stores quality checks hallucination guards)
- Experience with Docker CUDA/ROCm and profiling/benchmarking
- Experience with team collaborative tools (Confluence Jira GitHub etc.)
- Experience leveraging LLMs to interpret user intent and generate spatial queries over vector and raster data delivering ranked imagery and regions with documented provenance
- Experience applying object detection and segmentation to overhead imagery including georeferenced tiling large-scene processing and packaging inference as scalable batch jobs and services
Education- Must be pursuing a degree in computer science computer engineering or electrical engineering
- Must be a junior senior or graduate student
- 3.0 GPA minimum is required
If youre unsure if you are qualified we still want to hear from you! If you have a passion for problem-solving and learning you could be a great fit for this internship
SDL delivers advanced multi-domain solutions to protect national security and enable scientific discovery. Our expertise in satellites sensors and instruments ground systems and data processing and autonomous systems plays a critical role in missions supporting NASA and the Department of Defense. Join our team of engineers scientists technicians and business professionals in our seventh decade of delivering mission success.
At SDL we strive to uphold a culture of respect collaboration empowerment and accountability. We listen with open minds seek to understand diverse perspectives and engage in thoughtful dialogue. We work together by sharing knowledge involving others and offering support. We trust and empower our team members to take ownership act with integrity and be accountable. Above all we deliver on our commitments to each other and to our mission partners.
The application window for this position is expected to remain open for approximately 7 days. However it may be shortened or extended depending on business needs and the availability of qualified candidates. We encourage interested candidates to submit their applications promptly.For questions assistance or accommodation with the application process or the DoD SkillBridge program please contact
Required Experience:
Intern
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