PhD intern role focused on developing and deploying reinforcement learning policies for autonomous drone planning, navigation, and control in complex environments. Involves research in sim-to-real transfer, human-in-the-loop control, and multi-agent coordination, with a strong emphasis on real-world flight testing.

The role focuses on designing, implementing, and deploying deep learning models for autonomous flight systems, with a specific emphasis on computational photography applications. It involves training and optimizing models for both embedded hardware and cloud deployment, using real-world and synthetic data, and developing evaluation benchmarks.

The role focuses on building and scaling the infrastructure for Skydio's Deep Learning (DL) and AI efforts, specifically for computer vision (CV) workloads. This includes developing high-performance inference solutions, profiling models, designing MLOps workflows, improving training efficiency, implementing GPU kernels, and creating SDKs for autonomous workflows. The role operates at the intersection of autonomy, embedded, and cloud teams, emphasizing ML inference acceleration, optimization, and edge deployment.

The Autonomy Engineer - Deep Learning Model Acceleration role at Skydio focuses on building and scaling infrastructure for AI/ML efforts, specifically optimizing deep learning inference for computer vision workloads on various hardware platforms. This involves profiling models, designing MLOps workflows, improving training efficiency, implementing GPU kernels, and creating SDKs for autonomous workflows, with a strong emphasis on edge deployment and performance optimization.

Software Engineer role focused on building and evolving a high-fidelity simulator for autonomous drones. Responsibilities include core simulator architecture, physics and dynamics, sensor and hardware simulation, autonomy stack integration, and feature development. The role requires strong C++ and Python skills and experience with complex, performance-critical systems.

This role is not AI-related as it focuses on workplace experience, office operations, and HR coordination, not on building or deploying AI/ML models or systems. The company develops drones using AI, but this specific role does not involve direct AI/ML work.

Software Engineer role focused on building cloud-native, full-stack systems for a customer-facing drone simulation platform. The role involves designing and implementing services, APIs, and interfaces for configuring and interacting with the simulator, bridging the gap between a complex robotics simulator and cloud-delivered user experiences. Requires strong backend and distributed systems experience, Python, C++, TypeScript, React, and cloud technologies like AWS and Kubernetes.

Software Engineer role focused on building and evolving internal platforms and tools for the autonomy lifecycle in a drone company. Responsibilities include designing replay and analysis systems, developing infrastructure for automated testing and failure triage, operating at the interface between autonomy software and robotics middleware, and designing developer infrastructure. The role requires experience in C++, Python, and simulation frameworks, with bonus experience in performance-sensitive systems and front-end development.

Skydio is seeking an Enterprise Account Manager to drive strategic growth for their autonomous drone solutions within defense and government organizations across EMEA. The role involves owning and expanding accounts, developing relationships with various stakeholders, and navigating complex procurement environments to enable mission-critical adoption of Skydio's technology.