Joblaze summary

In the role of Autonomy Engineer specializing in Deep Learning at Skydio, the individual will focus on designing and deploying advanced computer vision models to enhance the company's autonomous flight systems. Key skills include proficiency in Python and PyTorch, along with experience in deep learning model development and optimization for embedded hardware. This position is ideal for candidates with a strong academic background in computer science or electrical engineering and hands-on experience in a fast-paced, collaborative environment. Skydio fosters a diverse and multidisciplinary team culture, emphasizing innovative solutions to complex challenges.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Skydio's careers page October 29, 2026.
This exact title is also open at 1 other location at Skydio: San Mateo, California, United States.
Python appears in 49.5% of 471 comparable mid ai/ml roles in United States; Computer Vision appears in 3.2% of 471 comparable mid ai/ml roles in United States.

Quick facts

What's the tech stack?: Joblaze extracted these technologies from the posting: C++, Computer Vision, Deep Learning, PyTorch, Python.
What seniority level is this role?: Skydio targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Autonomy Engineer - Deep Learning role at Skydio.

From the original posting

About the role:

Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. If you are excited about real world applications of deep learning and solving difficult problems in computer vision and autonomy, we would love to hear from you.

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, automated path planning etc.

How you'll make an impact:

Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
Leverage large scale and diverse synthetic data to power deep learning algorithms
Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
Refine and optimize models for low-latency on embedded hardware
Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
Be a generalist helping out on all aspects of the software when needed

What makes you a good fit:

M.S. or Ph.D. in computer science, electrical engineering or related discipline
Demonstrated hands-on experience designing, training and deploying deep learning models
Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
Leverage state-of-the-art academic papers and literature for fast iteration
Ability to thrive in a fast paced, collaborative and highly technical team environment
Comfortable navigating and delivering within a complex codebase
Strong communication skills

#LI-SM1

Standard company text repeated across Skydio's postings is omitted here.

Autonomy Engineer - Deep Learning

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