Skydio has 21 active AI-related job listings. The company's hiring is distributed across several stages, with "serving infrastructure" and "post-training" each accounting for 24% of the roles, followed by "application" and "agents" at 19% each. Engineering roles are the most frequent, representing 19 of the total positions. Skydio is primarily hiring in the United States and Switzerland. Frequent tech tags include model_serving, inference_infra, embodied_ai, synthetic_data, and fine_tuning, suggesting a focus on deploying and optimizing AI models for real-world applications. In the last 30 days, Skydio posted 1 new AI role, a decrease from the previous 30-day period.
Currently tracking 18 active AI roles, with 39 new openings in the last 4 weeks. Primary focus: Serve · Engineering. Salary range $47k–$278k (avg $195k).
Defense · Autonomous drones (civilian + defense)
Skydio currently has 28 active AI-related roles in our index. The most common open titles are: Autonomy Engineer - Deep Learning (2), Autonomy Engineer - Deep Learning Infrastructure (2), Autonomy Engineer - Deep Learning Model Acceleration (2), Autonomy Engineer - ML & DL Infrastructure (2), Autonomy Engineer Intern - Computer Vision/Deep Learning Fall 2026 (2). Most positions are in Engineering and Research.
Skydio's active AI hiring is concentrated in: agents (29%), application (21%), serving infrastructure (21%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Skydio is hiring AI talent in: United States (16 roles), Switzerland (11 roles).
Job postings at Skydio most frequently reference: model serving, inference infra, embodied ai, multimodal, vision.
In the past 30 days, Skydio has posted 4 new AI-related roles. That is a -67% change versus the prior 30 days (12 → 4).
| Title | Stage | AI score |
|---|---|---|
| Staff Product Manager, Vehicle AI Staff Product Manager for Vehicle AI at Skydio, a leading US drone company. This role focuses on shaping the roadmap for autonomous flight capabilities, working closely with world-class autonomy teams. Responsibilities include defining system behavior, translating customer needs into requirements, driving the development lifecycle (data collection, training, evaluation, deployment), defining performance metrics, and owning the user experience of autonomy. The role involves evaluating emerging technologies like foundation models, multimodal AI, and agentic systems, with a strong emphasis on robotics and AI/ML product development. | AgentData | 9 |