What You'll Do
Design and implement algorithms to automate the collection, processing, and analysis of sensor data for space domain awareness. You'll play a central role in advancing systems that detect, track, and characterize objects in orbit, supporting global space safety initiatives.
Lead the development and integration of hardware and software components for next-generation surveillance platforms. Your work will directly feed into the expansion and operation of a global sensor network, ensuring reliable data delivery for space operations centers and test environments.
Collaborate with technical teams and stakeholders to refine system capabilities and align development with real-world mission needs. You'll produce technical documentation, present findings to diverse audiences, and help guide strategic direction based on engineering insights.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Physics, Astronomy, or a closely related technical discipline
- Minimum of four years of relevant experience, including academic or internship work demonstrating technical excellence
- Proven experience building applications using Python, C++, and containerization with Docker
- Strong communication skills, with the ability to clearly explain complex technical concepts to both technical and non-technical audiences
- Capacity to work independently with minimal supervision
- Must be able to perform up to 20 hours per week of on-site work in a SCIF located in Aurora, CO, with the remainder conducted remotely
- Active Top Secret clearance with eligibility for SCI is required
- Commitment to solving difficult problems with precision and persistence
Preferred Qualifications
- Advanced degree in a relevant engineering or physical science field
- Extensive experience debugging and deploying software in Linux environments using Python and C++
- Background in cislunar space situational awareness
- Training or hands-on work in orbital mechanics, estimation theory, remote sensing, radiometry, statistical analysis, machine learning, or embedded/GPU systems
- Experience in early-stage startups or fast-moving technical environments
Technical Stack
Development is centered around Python and C++ in Linux environments, with use of Docker for containerization. Work includes GPU-accelerated computing, embedded systems integration, and real-time data processing architectures.
Benefits
- Hybrid work model with partial on-site access to a secure facility in Aurora, CO, and flexible remote work
- Engagement in high-stakes projects focused on space safety and security
- Culture that rewards curiosity, initiative, and meaningful contributions
- Supportive of experimentation, learning from setbacks, and rapid iteration
- Collaborative environment built around innovation and technical excellence
- Work alongside a team of engineers, scientists, and developers dedicated to solving complex challenges in space operations
