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Autonomy Engineer - Deep Learning Model Acceleration

Skydio· R&D
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Hybrid (San Mateo, California, United States)$170k - $277.5kFull-timePosted 6mo ago

About the role

Role focused on building and scaling infrastructure to support Skydio’s Deep Learning and AI efforts, with emphasis on high-performance DL inference, model optimization, MLOps workflows, and SDK development for autonomous workflows.

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 acceleration/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 Machine Learning (ML)
  • Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards

Qualifications

  • Demonstrated hands-on experience with MLOps, ML inference acceleration/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
  • Ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
  • Comfort navigating and delivering within a complex codebase
  • Strong communication skills and the ability to collaborate effectively at all levels of technical depth
  • Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions

Skills

Required:MLOpsDeep learning and DL fundamentalsComputer VisionML pipelines

Benefits

  • Paid vacation time
  • sick leave
  • holiday pay
  • 401K savings plan
  • group health insurance plans
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Skydio

A family of flying robots.

AI-powered autonomous drones for Drone as First Responder (DFR), critical infrastructure inspection, tactical ISR, site security, surveying and mapping

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