Skydio
Defense · Autonomous drones (civilian + defense)
- HQ
- Redwood City, US
- Founded
- 2014
- Website
- skydio.com
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.
Defense · Autonomous drones (civilian + defense)
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 - 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 |
| PhD Autonomy Engineer Intern - Planning & Controls (Reinforcement Learning) 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. |
| Agent |
| 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 models, leveraging real-world and synthetic data, and optimizing models for embedded hardware. The ideal candidate has a strong background in deep learning, computer vision, and experience deploying models to production. | Post-trainServe | 9 |
| Senior Autonomy Engineer - Deep Learning Senior Autonomy Engineer focused on designing, implementing, and optimizing deep learning solutions for real-time object detection, tracking, segmentation, and optical flow estimation on drones. The role involves leveraging state-of-the-art methods like unsupervised learning and foundational models, curating synthetic data, and refining models for low-latency embedded hardware, with a strong emphasis on computer vision and robotics applications. | Post-trainServe | 9 |
| PhD Autonomy Engineer Intern - Planning & Controls (Reinforcement Learning) 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. | Agent | 9 |
| Autonomy Engineer - Deep Learning Model Acceleration Skydio is seeking a Deep Learning Model Acceleration Engineer to build and scale infrastructure for their AI efforts, focusing on high-performance deep learning inference for computer vision workloads on various hardware platforms. The role involves profiling models, optimizing for low latency and power efficiency, designing MLOps workflows, and implementing GPU kernels for custom architectures. | ServePost-train | 8 |
| Autonomy Engineer - Deep Learning Infrastructure The role focuses on building and scaling the infrastructure for Skydio's Deep Learning (DL) and AI efforts, specifically for computer vision workloads. Responsibilities include developing high-performance inference solutions, optimizing models, designing MLOps workflows, and implementing GPU kernels. The role operates at the intersection of autonomy, embedded, and cloud teams, aiming to accelerate progress in intelligent mobile robots. | ServePost-train | 8 |
| Senior Autonomy Engineer - Deep Learning Senior Autonomy Engineer focused on designing, implementing, and optimizing deep learning models for real-time object detection, tracking, segmentation, and optical flow estimation on embedded drone hardware. The role involves leveraging state-of-the-art methods, curating synthetic and real-world data, and refining models for low-latency performance, with a strong emphasis on software engineering and deploying deep neural networks. | ServeData | 8 |
| 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 |
| PhD Autonomy Engineer Intern - Deep Learning or Computer Vision Skydio is seeking a PhD Autonomy Engineer Intern to work on computer vision algorithms for autonomous flight in drones. The role involves researching, prototyping, and implementing algorithms that understand the environment, with a focus on advancing capabilities and integrating them into real products. | Ship | 8 |
| Autonomy Engineer Intern - Computer Vision/Deep Learning Fall 2026 Skydio is seeking an Autonomy Engineer Intern to work on computer vision and deep learning algorithms for autonomous drones. The role involves researching, prototyping, and implementing features that enhance drone capabilities and ship them into real products. | Ship | 8 |
| 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 |
| Autonomy Engineer - Deep Learning Infrastructure 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. | ServePost-train | 8 |
| Autonomy Engineer - Deep Learning Model Acceleration 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. | ServePost-train | 8 |
| 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 |
| Autonomy Engineer - Planning and Controls Skydio is seeking an Autonomy Engineer specializing in Planning and Controls to develop and implement core motion planning software for autonomous drones. This role involves designing, implementing, simulating, evaluating, and flying new motion planning strategies, working across the software system, and developing/tuning low-level controllers. The position requires experience controlling real hardware, expertise in various control design methods, and strong C++ software engineering skills. | AgentServe | 7 |
| Autonomy Engineer Intern Fall 2026 Skydio is seeking an Autonomy Engineer Intern to contribute to the development of next-generation autonomy algorithms for drones. The role involves researching, prototyping, and implementing new features, as well as characterizing performance of core software and hardware components. Requires a strong foundation in math, theory, and software development, with demonstrated enthusiasm for areas like motion planning, computer vision, and deep learning. | Agent | 7 |