Skydio · 4 days ago
Autonomy Engineer - Deep Learning Infrastructure
San Mateo, CA
Full-time
Onsite
Mid, Senior Level
$170K/yr - $236K/yrSkydio is the leading US drone company and the world leader in autonomous flight, leveraging AI to create intelligent flying machines. The role involves building and scaling infrastructure for deep learning and AI efforts, focusing on computer vision tasks such as object detection and tracking.
Artificial Intelligence (AI)Drone ManagementDronesMachine LearningRobotics
Responsibilities
Develop solutions for high-performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms
Profile CV and Vision Language Models (VLMs) to analyze performance, identify bottlenecks and optimization opportunities and improve power efficiency of deep learning inference workloads
Design and implement end to end MLOps workflows for model deployment, monitoring and re-training
Utilize advanced Machine Learning knowledge to leverage training or runtime frameworks or model efficiency tools to improve system performance
Create new methods for improving training efficiency
Implement GPU kernels for custom architectures and optimized inference
Design and implement SDKs that allow customers/external developers to create autonomous workflows using ML
Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards
Qualification
Required
Demonstrated hands-on experience with MLOps, ML inference optimization and edge deployment
Strong knowledge of DL fundamentals, techniques and state-of-the-art DL models/architectures
Strong fundamentals in CV, image processing and video processing
Demonstrated hands-on experience building and managing ML pipelines for solving vision or vision language tasks including data preparation, model training, model deployment and monitoring
Experience and understanding of security and compliance requirements in ML infrastructure
Experience with ML frameworks and libraries
You have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
You are comfortable navigating and delivering within a complex codebase
Strong communication skills and the ability to collaborate effectively at all levels of technical depth
Benefits
Equity in the form of stock options
Comprehensive benefits packages
Paid vacation time
Sick leave
Holiday pay
401K savings plan
Company
Skydio
Skydio uses artificial intelligence to create flying drones that are used by consumer, enterprise, and government customers.
Founded in 2014
501-1000 employees
H1B Sponsorship
Skydio has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (21)
2023 (22)
2022 (12)
2021 (16)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$740MKey Investors
Linse CapitalAndreessen HorowitzN47
2024-11-15Series E· $170M
2023-02-27Series E· $230M
2021-02-28Series D· $170M
Leadership Team
Adam Bry
Co-founder & CEO
Tom Moss
COO (2018-2020), CEO APAC (2020-2024), Chief Corp Dev (2024~)
Recent News
Accel.
2026-01-06
2025-12-17
Business Wire
2025-12-16
Company data provided by crunchbase