Artificial Intelligence/Machine Learning Intern - GNC
About The Position
Join a team where your impact reaches beyond the stars! At Terran Orbital, you’re not just part of the system – you’re a vital force propelling our mission forward. As trailblazers in satellite manufacturing and aerospace innovation, we shatter boundaries daily to deliver groundbreaking solutions that power our nation’s defense and commercial missions. We are a unique, fast growing, and trusted team dedicated to swiftly and efficiently designing, building, launching, and operating state of the art satellites for advanced mission constellations. If you’re driven by purpose, inspired by challenges, and ready to leave your mark on the universe, you’ll find a home and endless opportunities for growth here. Together, let’s redefine what is possible in orbit and beyond! Terran Orbital is seeking an Artificial Intelligence (AI)/Machine Learning (ML) Intern - GNC to join our dynamic team. Reporting to the Sr. Product Director, GNC Sensor Modules the AI/ML Intern will help advance the performance of our next‑generation FPGA‑based Luminary Star Tracker (FLST). In this role, you’ll apply machine learning to a real spacecraft navigation system, working hands‑on with simulation tools, hardware‑in‑the‑loop setups, and GPU platforms such as NVIDIA Jetson.
Requirements
- Pursuing a degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or related field
- Able to work full time, onsite in Irvine, CA for 8 – 12 weeks starting in June 2026 (no relocation stipend, must be local).
- Experience with Python and ML frameworks (scikit‑learn, TensorFlow, or PyTorch)
- Interest in AI applied to real sensors and embedded systems
- Strong analytical and problem‑solving skills
- Hands‑on comfort with lab equipment and experimental iteration
- U.S. Citizenship with ability to obtain and maintain DoD security clearance.
Nice To Haves
- Experience with NVIDIA GPUs/Jetson, high‑performance computing, or AI agents
- Familiarity with control systems, signal processing, or embedded hardware
- Exposure to MATLAB/Simulink or Python‑based simulation environments
Responsibilities
- Generate and validate star field data for model training using simulation tools and NASA catalogs
- Collect and preprocess telemetry/sensor data from the FLST
- Develop and tune ML models to improve star tracker slew rate (target: 5°/sec)
- Integrate algorithms into simulation environments and support hardware‑in‑the‑loop testing
- Collaborate with engineers to solve AI‑hardware timing and interface challenges
- Document findings and present project results to technical and executive stakeholder
Benefits
- 100% Company-paid comprehensive medical, dental, and vision coverage for you and your dependents
- 401(k) Match
- Flexible Time Off (FTO)
- Education Reimbursement
- Competitive Paid Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Intern
