---
title: 'Autonomy Engineer - Deep Learning at Skydio'
canonical: 'https://feeny.ai/job/autonomy-engineer-deep-learning-skydio-san-mateo-california-sm721e21fxjc'
type: 'job'
last_seen: '2026-09-10'
---

# Autonomy Engineer - Deep Learning at Skydio

- **Company:** [Skydio](https://feeny.ai/companies/skydio)
- **Location:** San Mateo California, United States
- **Compensation:** $170k–$278k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-12-16
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/skydio/cc83824e-a1cd-4bc7-9206-7264da9fbd61/application

**Skills:** Python, PyTorch, C, Deep Learning, Computer Vision, Machine Learning, Model Optimization, Knowledge Distillation

> Design, train, and deploy optimized computer vision and multimodal deep learning models for autonomous drone systems. The role involves leveraging real-world and synthetic data, optimizing for low latency on embedded hardware, and developing evaluation benchmarks to solve challenging problems in object detection, lo...

## Job description

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from [utility inspectors](https://www.skydio.com/solutions/energy-and-utilities) to [first responders](https://www.skydio.com/solutions/public-safety), [soldiers in battlefield scenarios](https://www.skydio.com/solutions/national-security/tactical-isr), and [beyond](https://www.skydio.com/solutions). 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

Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - $277,500*.  Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.

*For some positions the pay may be dependent upon the individual's regional location.

## #LI-PG1

At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

## About Skydio

## Company Overview
- **One-liner**: Skydio builds autonomous drones and platforms for public safety, critical infrastructure inspection, and national security, enabling safer, smarter, and faster data collection.
- **Entity Type**: Private – Series E ($230M raised)
- **Headquarters**: San Mateo, California, United States (manufacturing hub in Hayward, CA; satellite offices in Boston, Japan, and India)
- **Founded**: 2014
- **Founders**: Adam Bry (CEO) and Abe Bachrach (CTO) – both MIT graduates and co-founders of Google’s Project Wing

## Core Business
- **Primary industries**: Drone manufacturing, autonomous flight software, public safety / first responder technology, infrastructure inspection, defense / national security
- **Target customers**: B2G (government/public safety), B2B (energy, utilities, construction, surveying), and defense organizations
- **Mission statement**: “To make the world more productive, creative, and safe with autonomous flight”

## Products & Services
- **[Skydio X10](https://www.skydio.com/)**: Flagship autonomous drone with best-in-class sensors, advanced AI, and cloud integration – designed for outdoor inspection, DFR, and site security.
- **[Skydio R10](https://www.skydio.com/)**: Indoor-capable, compact drone for tight quarters (e.g., building interiors) with onboard lighting and communications.
- **[Skydio Dock for X10](https://www.skydio.com/)**: Remote docking station enabling autonomous launch, landing, and charging – supports unattended mission execution.
- **[Skydio Cloud & Software Platform](https://www.skydio.com/)**: End-to-end software for mission planning, live streaming, data processing, and fleet management (includes Drone as First Responder solutions, asset inspection, and mapping).

## Market Standing
- **Valuation/Funding**: $230 million raised in a Series E round (led by Linse Capital, with participation from Andreessen Horowitz, Next47, IVP, DoCoMo, Nvidia, UP.Partners; angel investors include Brendan Iribe, Naval Ravikant, Padma Warrior, Matt Bellamy, Magic Johnson, Justin Timberlake, Kevin Durant). Valuation not publicly disclosed.
- **Key Metric**: Over 60,000 drones delivered; “9 figures of annual revenue” (i.e., $100M+) with rapid growth [skydio.com/careers](https://www.skydio.com/careers).
- **Notable Investors/Partners**: Andreessen Horowitz, Nvidia, IVP, DoCoMo, UP.Partners.
- **Growth Signals**: Company reports rapid revenue growth; expanding into national security contracts; manufacturing hub in Hayward; global presence with offices in Tokyo, Singapore, Zurich.

## Competitive Advantages
- **Purely U.S. based** – designed, assembled, and supported in the USA, meeting strict national security and supply chain standards.
- **Deep AI autonomy** – world-leading computer vision and autonomous flight technology, built by a team that pioneered the field at MIT and Google X.
- **Full-stack platform** – drones, docks, cloud software, and mission-specific integrations create a locked-in ecosystem that’s hard to replicate.
- **Mission-critical trust** – deployed by police departments, defense agencies, and utilities for life-saving and infrastructure-protecting missions.

## Strategic Focus
- **Scaling drone-as-a-first-responder (DFR)** programs across public safety agencies.
- **Expanding defense & national security** verticals (survivable sUAS, battlefield situational awareness).
- **Deepening enterprise inspection & mapping** offerings for energy, telecom, and civil infrastructure.
- **International growth** – offices in Japan, India, Singapore, Switzerland, and Finland.

## Why Work Here
- **Purpose-driven impact** – work on tech that “makes our world safer and more efficient” (autonomous drones for first responders, search & rescue, battlefield awareness).
- **Cutting-edge engineering** – stack spans AI/robotics, computer vision, cloud, mobile, aerodynamics, sensors, and hardware; described as “the Mount Everest of technology.”
- **Collaborative culture** – “intense but rewarding”; teams include world-class engineers, special forces operators, and industry experts.
- **Hybrid/office** – headquarters in San Mateo (Bay Area) with manufacturing in Hayward; satellite offices in Boston, Japan, and India. Many engineering roles are on-site or hybrid, but some positions list remote (US) availability.
- **Notable perks** – no explicit perks listed, but culture emphasizes real-world impact, cross-functional work, and autonomy to solve hard problems.

## Sources
1. [skydio.com](https://www.skydio.com/) – Main site (products, mission, drone capabilities)
2. [skydio.com/about](https://www.skydio.com/about) – Founders, leadership, and company history
3. [skydio.com/careers](https://www.skydio.com/careers) – Company stats (60k drones, 9-figure revenue, mission, culture, office locations)
4. [linkedin.com/company/skydio](https://www.linkedin.com/company/skydio) – Company description
5. [cbinsights.com/company/skydio/financials](https://www.cbinsights.com/company/skydio/financials) – Funding round details (Series E, $230M)

## Other roles at Skydio

- [Flight Test Operator - Data Collection Fixed Term](https://feeny.ai/job/flight-test-operator-data-collection-fixed-term-skydio-san-mateo-california-k39mb134zmn9) — San Mateo California, United States
- [Senior RF Design Engineer](https://feeny.ai/job/senior-rf-design-engineer-skydio-san-mateo-california-vvreqa2jdv4e) — San Mateo California, United States
- [Test Engineering Technician](https://feeny.ai/job/test-engineering-technician-skydio-san-mateo-california-168k5rrxmgsh) — San Mateo California, United States
- [Field Support Representative - Colorado](https://feeny.ai/job/field-support-representative-colorado-skydio-united-states-gmwskmw9gthz) — United States
- [EHS Specialist](https://feeny.ai/job/ehs-specialist-skydio-san-mateo-california-gzxemmnq1sm4) — San Mateo California, United States
- [Systems Integration and Test Engineer (Senior to Staff Level)](https://feeny.ai/job/systems-integration-and-test-engineer-senior-to-staff-level-skydio-san-mateo-05357sqhznad) — San Mateo California, United States
- [Systems Integration and Test Engineer](https://feeny.ai/job/systems-integration-and-test-engineer-skydio-san-mateo-california-6jy1mpatrsrm) — San Mateo California, United States
- [Flight Test Intern - Summer 2027](https://feeny.ai/job/flight-test-intern-summer-2027-skydio-san-mateo-california-9js5hytbcpa1) — San Mateo California, United States
- [Product Design Engineer Intern - Summer 2027](https://feeny.ai/job/product-design-engineer-intern-summer-2027-skydio-san-mateo-california-4rrh55j2aq90) — San Mateo California, United States
- [Autonomy Engineer Intern, Computer Vision / Deep Learning, Summer 2027](https://feeny.ai/job/autonomy-engineer-intern-computer-vision-deep-learning-summer-2027-skydio-san-asjd2k15p11a) — San Mateo California, United States