Skydio

Autonomy Engineer – Deep Learning Model Acceleration

Skydio

full-time

Posted on:

Location Type: Hybrid

Location: San MateoCaliforniaUnited States

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Salary

💰 $170,000 - $277,500 per year

About the role

  • 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

Requirements

  • 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
  • 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
  • Paid vacation time
  • Sick leave
  • Holiday pay
  • 401K savings plan
  • Group health insurance plans
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
deep learningcomputer visionMLOpsML inference accelerationGPU kernelsmodel deploymentmodel trainingimage processingvideo processingML pipelines
Soft Skills
strong communicationcollaborationproblem-solvingsystematic approachadaptability