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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Autonomy Engineer - Deep Learning Infrastructure - **Company:** Skydio, Inc. - **Location:** San Mateo, United States - **Salary:** $170,000.0 - $236,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Cleansing, Language Modeling, Cisco Nexus Switches, Object Detection, Tensorflow, Software Engineering, Video Editing, Deep Learning, Low Latency, Machine Learning Operations - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/autonomy-engineer-deep-learning-infrastructure-skydio-com-8080925 ## About the Role * 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 ## Description If you are excited about leveraging massive amounts of structured video data to solve problems in Computer Vision (CV) such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you., As a deep learning infrastructure engineer, you will be responsible for building and scaling the infrastructure that supports Skydio's DL and AI efforts. You will be working at the nexus of Skydio's autonomy, embedded and cloud teams to deliver new capabilities and empower the deep learning team.How you'll make an impact: * 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 ## Related Videos - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [AI vs Recruiters and Applicants, Turmoil in the Games Industry, What to Put on a CV](https://www.wearedevelopers.com/videos/1363-ai-vs-recruiters-and-applicants-turmoil-in-the-games-industry-what-to-put-on-a-cv) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)