Autonomy Engineer - ML & DL Infrastructure

Skydio
San Mateo
Workplace: HybridFull timeUSD 170,000 - 277,500 annuallyFunction: Software EngineeringSkills: ["Communication","Collaboration","Problem-solving"]

Join Skydio as a deep learning infrastructure engineer focused on building scalable data pipelines, ML data ingestion and deployment workflows. You will work across autonomy and cloud teams to enable ML training at scale, improve data curation, and uphold engineering standards while navigating a complex codebase in a hybrid environment.

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FursaFursa
Skydio
Skydio
2 months ago

Autonomy Engineer - ML & DL Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Join Skydio as a deep learning infrastructure engineer focused on building scalable data pipelines, ML data ingestion and deployment workflows. You will work across autonomy and cloud teams to enable ML training at scale, improve data curation, and uphold engineering standards while navigating a complex codebase in a hybrid environment.
Location: San Mateo
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and implement scalable, extensible, interactive data pipelines and annotation workflows.
  • •Build tools that leverage state-of-the-art machine learning systems for efficient data exploration and curation across the fleet of Skydio drones.
  • •Design and implement pipelines for data ingestion, versioning, model training, deployment and monitoring.
  • •Optimize and scale deep learning training workflows to improve team iteration velocity.
  • •Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards.

Pay and Benefits

Salary: USD 170,000 - 277,500 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityPaid Leave

Key Requirements

  • •Hands-on experience with data engineering and building large-scale, performant data processing pipelines.
  • •Hands-on experience with cloud-based ML platforms, containerization technologies, ML Ops platforms and databases.
  • •Experience and understanding of security and compliance requirements in ML infrastructure.
  • •Hands-on experience building and managing ML pipelines including data preparation, model training, model deployment and monitoring.
  • •Ability to drive a concept through the software lifecycle: architecture, development, testing, deployment, and monitoring.
Experience:AIMLDLData engineering
Skills:CommunicationCollaborationProblem-solving
Certifications:FAA Part 107
Tech Stack:PythonDockerKubernetesML OpsCloud platformsDatabasesSQLPostgreSQL

Company Brief

Skydio
Designs and manufactures autonomous consumer and enterprise drones using AI-powered vision and navigation systems for inspection, mapping, public safety, and industrial applications. Focuses on rugged, fully autonomous flight and end-to-end drone solutions.
Industry: Drones & Aerial Logistics
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Mateo, United States
Founded: 2014
WebsiteLinkedIn