Skydio
Defense · Autonomous drones (civilian + defense)
- HQ
- Redwood City, US
- Founded
- 2014
- Website
- skydio.com
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.
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).
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 - ML & DL Infrastructure ML/DL Infrastructure Engineer responsible for building and scaling the infrastructure supporting AI/ML training efforts, including data pipelines, annotation workflows, and training optimization, with a focus on autonomous flight systems for drones. | DataServe | 8 |
| Senior Autonomy Engineer, Data Curation Senior Engineer on the Autonomy Data Curation team responsible for building a data flywheel to transform raw autonomy logs and media into high-quality, model-ready datasets for Autonomy teams. This involves building and operating data pipelines, developing data discovery and slicing tooling, improving dataset quality, and applying privacy/security requirements. | Data | 7 |
| Autonomy Engineer - ML & DL Infrastructure The role focuses on building and scaling the ML/DL infrastructure for training autonomous flight systems in drones. This includes designing and implementing data pipelines, annotation workflows, data ingestion, versioning, model training, deployment, and monitoring systems, as well as optimizing training workflows. | DataServe | 7 |