🛠 Tech Stack

💼 About This Role

You'll build real-time trajectory generation and decision-making for Zipline's autonomous drone delivery fleet. As a key contributor to the Autonomy Motion Planning team, you'll design collision avoidance and multi-agent planning scaling to 10,000+ flights daily. This role offers ownership of high-stakes autonomy decisions that directly impact global logistics.

🎯 What You'll Do

• Build real-time trajectory generation and decision-making for autonomous flight
• Design collision avoidance and multi-agent planning for fleet deconfliction
• Optimize across safety, energy, time, and reliability constraints
• Prove autonomy in simulation, hardware-in-the-loop, and real fleet data validation

📋 Requirements

• Master's in CS or related field with 3+ years in safety-critical systems
• Strong in Rust/C++/C for real-time, fault-tolerant code on embedded/Linux
• Depth in planning search, trajectory optimization/MPC, or multi-agent deconfliction on real robots
• Hands-on with simulation at scale, SIL/HIL, log replay, and metrics-driven validation

✨ Nice to Have

• Experience with chance-constrained planning or robust optimization
• Background in multi-agent systems or air traffic management
• Published work in robotics or autonomous systems conferences

🎁 Benefits & Perks

• 🏖️ Paid Time Off
• 🩺 Medical, Dental, and Vision Insurance
• 📈 Equity Compensation
• 💰 Discretionary Annual or Performance Bonuses

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interviews· 4 hours