🛠 Tech Stack

💼 About This Role

You'll define the compute architecture for an autonomous flight startup, spanning cloud ML training, simulation, and onboard systems. Your work directly impacts the reliability and scalability of flight-critical autonomy. This role offers the chance to build infrastructure from scratch in a high-stakes, fast-scaling environment.

🎯 What You'll Do

• Define end-to-end compute architecture for cloud and edge systems.
• Scale GPU orchestration and workload scheduling for autonomy teams.
• Balance determinism, latency, safety, and cost in platform design.
• Set reliability standards for flight-critical compute infrastructure.

📋 Requirements

• 10+ years building large-scale distributed or high-performance compute systems.
• Proven ownership of production infrastructure for autonomous systems or ML.
• Deep expertise in distributed systems design and performance optimization.
• Experience architecting GPU-based training, simulation, or real-time workloads.

✨ Nice to Have

• Background in aerospace, robotics, or safety-critical systems.
• Experience bridging cloud and edge/embedded environments.
• Track record of leading cross-functional technical initiatives.

🎁 Benefits & Perks

• 🚀 Shape the future of autonomous flight
• 💰 Competitive equity package
• 🏖️ Unlimited PTO
• 🏥 Comprehensive health benefits
• 💻 Hybrid work flexibility