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 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.
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 |
|---|---|---|
| Autonomy Engineer - Deep Learning Skydio is seeking an Autonomy Engineer specializing in Deep Learning to train and deploy optimized models for their autonomous flight systems. The role involves designing, implementing, and deploying computer vision and multimodal deep learning models, leveraging real-world and synthetic data, and optimizing models for embedded hardware. The focus is on real-world applications of deep learning in robotics and computer vision. | Post-trainServe | 9 |
| Autonomy Engineer Intern - Deep Learning (Computational Photography) Skydio is seeking an Autonomy Engineer Intern to focus on deep learning for computational photography in autonomous drones. The role involves designing, training, and deploying optimized models for real-time applications on embedded hardware, as well as for cloud deployment. Responsibilities include leveraging real-world and synthetic data, foundation models, and developing evaluation benchmarks. | Post-trainServe | 9 |
| Autonomy Engineer - Deep Learning Skydio is seeking an Autonomy Engineer - Deep Learning to train and deploy optimized deep learning models for their autonomous flight systems. The role involves designing, implementing, and deploying computer vision and multimodal deep learning models, leveraging real-world and synthetic data, and optimizing models for low-latency embedded hardware. The position requires an MS or PhD, hands-on experience with deep learning model deployment, and strong coding skills in Python/PyTorch and C++. | Post-trainServe | 9 |
| Autonomy Engineer Intern - Deep Learning (Computational Photography) 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. | Post-trainServe | 8 |