🛠 Tech Stack

💼 About This Role

You'll lead development of multi-sensor multi-object tracking and data fusion algorithms for space surveillance. You'll advance satellite and debris detection using physics and AI/ML-based techniques on Slingshot's Global Sensor Network.

🎯 What You'll Do

• Develop algorithms for multi-sensor multi-object tracking and sensor fusion
• Implement physics and AI/ML models for space object characterization
• Lead technical projects and cross-team initiatives
• Write technical reports and present to customers and stakeholders

📋 Requirements

• Undergraduate degree in aerospace engineering or related field
• 7+ years of relevant work experience
• Experience developing numerical algorithms in Python and/or C++
• Top Secret clearance with SCI eligibility

✨ Nice to Have

• Graduate degree in aerospace engineering or related field
• Significant experience with Python/C++ deployment in Linux
• Training in astrodynamics, estimation theory, or ML

🎁 Benefits & Perks

• 🚀 Relocation assistance for qualified candidates
• 💡 Mentoring and training opportunities
• 🌍 Customer engagement travel up to 5%
• 🏢 Onsite collaboration with 25% remote flexibility

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Application Review· 1-2 weeks
2. 2Technical Interview· 1 hour
3. 3Hiring Manager Interview· 1 hour
4. 4Offer· 1 week