Role Overview
As a Space Surveillance Engineer II, you will play a key role in advancing space safety and sustainability by designing and implementing systems that monitor orbital activity. Your work will focus on detecting, tracking, and characterizing satellites and debris using a global network of sensors. You'll develop algorithms, integrate hardware and software components, and support the deployment of scalable space domain awareness solutions.
Key Responsibilities
- Design and refine algorithms to automate sensor tasking, data collection, processing, and analysis
- Perform system-level modeling, simulation, and integration of sensor hardware and control systems
- Develop software tools in Python and C++ to support data exploitation and dissemination
- Support the transition of capabilities to operational environments, including testbeds and mission operations centers
- Collaborate with stakeholders to align technical development with mission requirements
- Produce technical documentation and present findings to technical and non-technical audiences
- Lead project execution for individual and small-team initiatives
- Contribute to innovation in space surveillance strategies and product evolution
Qualifications
A bachelor’s degree in Aerospace, Electrical, or Mechanical Engineering, Computer Science, Physics, or a related technical field is required. Candidates should have at least four years of relevant experience, including internships or academic projects demonstrating technical depth. Proficiency in Python, C++, and Docker is essential, along with strong communication skills and the ability to work independently. A proven ability to solve complex problems and deliver high-quality results is expected.
Top Secret clearance with SCI eligibility is mandatory. The role requires up to 20 hours per week in a SCIF located in Aurora, CO, with the remainder performed remotely.
Preferred Background
- Advanced degree in a relevant engineering or physical science discipline
- Hands-on experience deploying software in Linux environments
- Experience with cislunar space domain awareness
- Technical training in orbital mechanics, estimation theory, remote sensing, radiometry, or machine learning
- Familiarity with gimbaled and fixed sensor systems, mount control, and calibration techniques
- Background in early-stage startups or fast-moving technical environments
Work Environment
This is a hybrid role with a flexible schedule. Work will be split between remote locations and a secure facility in Aurora, CO. The organization values initiative, technical rigor, and rapid learning, operating in a collaborative culture that prioritizes impact over hierarchy. Engineers are expected to take ownership, iterate quickly, and contribute across disciplines.
