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Design and build cloud-native and full-stack simulation systems, integrating APIs with the Skydio Simulator while ensuring scalability and reliability.

Design and implement deep learning solutions for detection, tracking, segmentation, and optical flow estimation tasks on drones. Requires experience in prototyping, optimizing, and deploying models while curating image datasets.

As a Deep Learning Engineer, design, implement, and deploy computer vision models for autonomy systems. Utilize real-world and synthetic data for training and evaluation, optimizing models for embedded hardware and developing benchmarks to assess performance.

The Customer Success Manager will oversee customer implementation, usage, and retention, while fostering relationships and managing a portfolio of accounts to drive value and expansion.

The engineer will develop and implement core motion planning software for drones, focusing on algorithms for behavior, control, and user interaction.

As an Autonomy Engineer, you will build scalable data pipelines and tools for machine learning, optimizing workflows for training and deployment.

Develop and optimize Skydio's core simulator architecture, focusing on physics modeling, sensor simulation, and integrating autonomy stacks, ensuring realism and performance in simulations.

Hands-on lab engineer supporting prototype builds, testing, troubleshooting, and lab operations for drone hardware. Tasks include mechanical assembly, soldering/rework, wiring and harnessing, electrical debugging, simple scripting/config edits, firmware parameter tuning, and cross-site travel to support builds and knowledge transfer.

Provide advanced technical support for Skydio UAS systems and private Cloud deployments: diagnose flight communication and data flow issues, troubleshoot networks (WiFi/cellular/ethernet), manage REST/API integrations, escalate and resolve integrations, and assist customers and internal teams to optimize operational reliability and privacy.

Manage onboarding, implementation, adoption, renewals, and expansions for public safety enterprise customers across the South Central US. Serve as technical customer advocate, run business reviews, track implementations, drive product feedback to engineering, and manage a book of ~20 accounts with ~40% travel.