Autonomy Engineer, Skydio

Deep Learning

$170-277.5k

+ A variety of incentives and stipends

Python

C++

PyTorch

Junior, Mid and Senior level

San Francisco Bay Area

Office located in San Mateo, CA

Autonomous drones for DFR, inspection, and national security

Open for applications

Autonomous drones for DFR, inspection, and national security

501-1000 employees

B2BArtificial IntelligenceManufacturingDrones

Open for applications

$170-277.5k

+ A variety of incentives and stipends

Python

C++

PyTorch

Junior, Mid and Senior level

San Francisco Bay Area

Office located in San Mateo, CA

501-1000 employees

B2BArtificial IntelligenceManufacturingDrones

Company mission

To make the world more productive, creative, and safe with autonomous flight.

Job

Company

Role

Who you are

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
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

What the job involves

We leverage breakthrough AI to create the world's most intelligent flying machines for use by our enterprise, public safety, defense and other customers
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
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
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

Our take

A leader in autonomous flight, Skydio builds drones that can track and film targets while avoiding obstacles. Its products have a wide range of applications, most notably for businesses that need to undertake inspections in unsafe places. The drones are also valuable to search and rescue efforts, police forces, and the US army.

Backed by a range of top investors and strategic partners (including Andreesen Horowitz, Levitate Capital, and Next 47) Skydio sets itself apart from its competitors by marketing its products predominantly to businesses. With technology such as 3D scanning and a 360-degree superzoom mode, its drones have a wide range of applications and functionality.

The company raised funding in 2023, which has boosted its valuation to over $2B. It has since focussed on R&D, developing and launching the X10 model which is designed for first responders and the military, as well as enhancing its remote control and thermal imaging capabilities. On top of this it's also been awarded two contracts to expand the use of advanced autonomous drones across key operational units by the US Air Force. As the largest American drone company, there is no reason Skydio shouldn't remain a key industry actor for years to come.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

24% employee growth in 12 months

Glassdoor (4.7)

Company

Funding (last 2 of 7 rounds)

Nov 2024

$170m

SERIES E

Feb 2023

$230m

SERIES E

Total funding: $741m

Company HQ

Western Hills, San Mateo, CA

Leadership

Adam Bry

(Co-Founder & CEO)

Having studied at MIT, they spent a year and a half at Google as a Software Engineer. They left this position in February 2014 to co-found Skydio.

Abraham Bachrach

(Co-FOunder & CTO)

Earned a PhD in Electrical Engineering and Computer Science from MIT, and was a Software Engineer for Google's Project Wing.

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