Launch & Orbit Support Intern

Job not on LinkedIn

November 24

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

👨‍🎓 Internship

⚪️ Entry-level

💻 IT Support

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LeoLabs

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Aerospace • Enterprise • Government

LeoLabs is a leading company that provides advanced space operations services, crucial for the management of low Earth orbit (LEO) traffic and safety. Utilizing cutting-edge technology like their Vertex™ space operations stack, LeoLabs offers comprehensive solutions such as satellite tracking, collision avoidance, and risk assessment. These services are vital for satellite operators, commercial enterprises, and government agencies around the world, ensuring the safe and efficient launch and operation of missions in space. LeoLabs' global radar network provides real-time tracking and insights, making them a trusted partner in space mission support and space debris management.

51 - 200 employees

Founded 2016

🚀 Aerospace

🏢 Enterprise

🏛️ Government

📋 Description

• Support LeoLabs’ Launch and Early Operations (LEOP) products and key data products during orbital launches • Automate, optimize, and improve tools used for LEOP and orbit determination • Collaborate with engineers and scientists to solve complex technical challenges • Use LeoLabs’ extensive LEO object data set to prototype analytical and system improvements • Transition your solutions from prototype to production as part of our release cycle • Work independently and on cross-functional teams • Communicate findings clearly through written explanations, visualizations, and weekly team updates

🎯 Requirements

• Currently pursuing a bachelor’s or graduate degree in a STEM field • Coursework or experience in physical sciences, data analytics, or related areas • Familiarity with orbit mechanics/astrodynamics • Experience working in large codebases and scripting in Python, MATLAB, Julia, or similar tools • Ability to self-direct and collaborate effectively • Familiarity with SQL, Git, Docker, and the Unix command line (preferred) • Passion for solving complex scientific or engineering problems (preferred) • Prior STEM research experience (preferred) • GPA 3.5+ in relevant coursework (preferred) • Letter of recommendation from a professor or mentor (preferred) • Working knowledge of statistical modeling (preferred).

🏖️ Benefits

• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability, or status as a protected veteran.